# AI Engineer Code Summit 2026 > The application-only AI Engineer Code Summit brings together leading coding-agent builders and AI engineers in San Francisco, November 10-12, 2026. - Website: https://ai.engineer/code/2026 - Dates: November 10-12, 2026 - Location: San Francisco, CA - Venue: Hilton San Francisco Union Square, 333 O'Farrell St, San Francisco, CA 94102 - Timezone: America/Los_Angeles (all times below are Pacific) - Apply to attend: https://ai.engineer/code/2026/apply - Schedule: https://ai.engineer/code/2026/schedule - Newsletter: https://ai.engineer/newsletter - YouTube: https://youtube.com/@aidotengineer - Twitter/X: https://x.com/aiDotEngineer - LinkedIn: https://www.linkedin.com/company/aidotengineer/ ## Developer Endpoints Open, read-only, no API key. Schedule and speaker data refresh from the live schedule every few minutes. The affiliation feed follows the announced roster. - llms.txt: https://ai.engineer/code/2026/llms.txt - llms-full.txt (descriptions + speaker bios) (this file): https://ai.engineer/code/2026/llms-full.txt - Sessions JSON: https://ai.engineer/code/2026/sessions.json - Speakers JSON: https://ai.engineer/code/2026/speakers.json - Announced roster affiliations JSON: https://ai.engineer/code/2026/organization-affiliations.json - iCal calendar (every session): https://ai.engineer/code/2026/calendar.ics - MCP server: https://ai.engineer/mcp (tools: list_conferences, get_schedule with conferenceId "conference:code/2026", search, fetch) - Data guide and schemas: https://ai.engineer/data.md ## Sessions ### Tuesday, November 10 #### 8:00am - 9:00am · Light Breakfast - Room: Continental 5 (Breakfast & Lunch) - Type: other - Starts: 2026-11-10T08:00:00-08:00 · Ends: 2026-11-10T09:00:00-08:00 #### 8:00am - 5:30pm · Registration - Room: Registration (outside Golden Gate) - Type: other - Starts: 2026-11-10T08:00:00-08:00 · Ends: 2026-11-10T17:30:00-08:00 #### 8:55am - 9:00am · MC Intro - Room: Continental 1–3 (Workshop Room 1) - Type: workshopTalk (Stage Talk) - Speakers: Richelle Ji (Chief of Staff, Featherless AI) - Starts: 2026-11-10T08:55:00-08:00 · Ends: 2026-11-10T09:00:00-08:00 #### 9:00am - 9:25am · From Shared Language to Enforceable Contracts: Ontologies as Guardrails for Agents. - Room: Continental 1–3 (Workshop Room 1) - Type: workshopTalk (Stage Talk) - Speakers: Frank Coyle (Lecturer, UC Berkeley) - Starts: 2026-11-10T09:00:00-08:00 · Ends: 2026-11-10T09:25:00-08:00 This talk echoes Pocock’s “shared understanding” and augments it -- turning that language into a machine-checkable model: typed entities, relationships, allowed states, and inference rules. #### 9:00am - 10:00am · Machine trust - Room: Continental 4 (Workshop Room 2) - Type: workshop (Workshop) - Speakers: CJ Avilla (Member of Technical Staff, Anthropic) - Starts: 2026-11-10T09:00:00-08:00 · Ends: 2026-11-10T10:00:00-08:00 Agents can now work for hours, but most of us still approve every step or skip the prompts and hope. This session asks where we are on the curve for trusting agents, and what has to be true before we hand them much more work. It draws on decades of trust research, from how societies learned to trust strangers to how pilots learned to trust the autopilot. Then we use Claude Managed Agents as a reference implementation for building systems that are safe, secure and trustworthy by default. #### 9:00am - 10:00am · New Ways of Working with Codex - Room: Continental 6 (Workshop Room 3) - Type: workshop (Workshop) - Speakers: Dominik Kundel (Developer Experience, OpenAI); Charlie Guo (Developer Experience Engineer, OpenAI) - Starts: 2026-11-10T09:00:00-08:00 · Ends: 2026-11-10T10:00:00-08:00 Keeping up with the rapid changes in coding agents can be exhausting. Join Dominik Kundel for a practical tour of recent features and workflows to bring you up to speed, without all the noise. We'll cover with live demos and walkthroughs how you can make the most out of your ChatGPT subscription whether you are pair programming with Codex or having your dot manage your incidents. #### 9:00am - 10:00am · Build a Coding Agent Harness From an Empty Loop - Room: Continental 7–9 (Workshop Room 4) - Type: workshop (Workshop) - Speakers: Tejas Kumar (AI Engineer, IBM) - Starts: 2026-11-10T09:00:00-08:00 · Ends: 2026-11-10T10:00:00-08:00 Start with an agent that lies about finishing, and leave with a harness you'd trust with your repo. A bare agent loop ends when the model says it's done. In my AI Engineer Europe 2026 talk, that loop hit a login page and reported success anyway. The model wasn't the problem: nothing around it checked anything. In this workshop we fix that by hand, one layer at a time, in TypeScript. We build every part of an agent harness from scratch: - **The agent loop:** call the model, run the tools it asks for, feed the results back. - **Guardrails:** iteration and context limits the model can't talk its way past. - **Context management:** what stays in the window when a run gets long. - **Deterministic verification:** read the trace, run the linter and the tests, and let a failed check overrule the model's claim. - **Retries and secrets:** a loop around the loop, and credentials the model never sees. One rule for the whole session: the prompt never changes. Every fix is code. You'll leave with a working harness on your laptop and the habit of fixing the harness before the prompt. Starting repo: https://github.com/TejasQ/basically-ai-harness #### 9:30am - 9:55am · One team's path to trusting AI generated code - Room: Continental 1–3 (Workshop Room 1) - Type: workshopTalk (Stage Talk) - Speakers: Ankit Jain (Co-founder & CEO, Aviator) - Starts: 2026-11-10T09:30:00-08:00 · Ends: 2026-11-10T09:55:00-08:00 Our team merges 4x more pull requests than we did a year ago. Almost all of that code is AI-generated, human assisted. We tried scaling code review to match — more reviewers, AI review tools, stricter checklists — and none of it worked. What worked was stopping the fight over diffs entirely and building a verification layer around *intent*. This is the story of how one engineering team replaced the PR review bottleneck with an intent-driven verification workflow: capturing what a change *should* do before a single line is generated, encoding team standards as reusable invariants, and letting deterministic checks — not tired reviewers — produce the evidence that a change is safe to ship. I'll walk through the specific practices that made the difference — especially how we turned years of recurring review comments into machine-enforceable invariants — and share the results, the failures, and what we'd do differently. #### 10:10am - 10:35am · The True Cost of AI Coding - Room: Continental 1–3 (Workshop Room 1) - Type: workshopTalk - Speakers: Scott Tolinski (Co-host, Syntax) - Starts: 2026-11-10T10:10:00-08:00 · Ends: 2026-11-10T10:35:00-08:00 After seeing the mental health effects of AI coding throughout the industry, Scott surveyed nearly 4000 developers about how agentic workflows are affecting their mental health. Hear what's happening and why. #### 10:10am - 11:10am · Forget AGI. You're Surrounded by Low-Hanging Fruit. - Room: Continental 4 (Workshop Room 2) - Type: workshop (Workshop) - Speakers: Lucas Meijer (Hacker, AgentsInTheCloud.com) - Starts: 2026-11-10T10:10:00-08:00 · Ends: 2026-11-10T11:10:00-08:00 Software development lifecycles are full of slow processes you can automate. Let's fix those before we go pretend to be AI astronauts. We'll cover a range of easy-to-adopt techniques for that kind of automation, and for pushing back against the agent-supercharged entropy that keeps trying to make your codebase slop out of control. You'll leave with prompts, skills and workflows you can put to work the same afternoon. #### 10:10am - 11:10am · Build a Multi-Agent PR Review and Repair Workflow with Omnigent - Room: Continental 6 (Workshop Room 3) - Type: workshop (Workshop) - Speakers: Elise Gonzales (Staff Product Manager, Databricks); Bradford Chang (Sr. Solutions Architect, Databricks) - Starts: 2026-11-10T10:10:00-08:00 · Ends: 2026-11-10T11:10:00-08:00 Build a GitHub CI workflow that uses specialist agents to review pull requests, coordinate bounded repairs, and validate the resulting changes. In this hands-on workshop, you’ll connect agents across models and coding harnesses, define their roles and permissions, and test the pipeline while Omnigent handles session lifecycles, delegation, and messaging. We’ll draw on how Omnigent uses its own agents to manage incoming issues and contributions as an active open-source project, examining what it takes to turn review findings into tested changes ready for human approval. You’ll leave with version-controlled agent configurations and a runnable workflow you can adapt to your own projects. #### 10:10am - 11:10am · Stop Prompting, Start Delegating: Hand off work to a team of agents - Room: Continental 7–9 (Workshop Room 4) - Type: workshop (Workshop) - Speakers: Ross Cefalu (Member of Technical Staff, Factory) - Starts: 2026-11-10T10:10:00-08:00 · Ends: 2026-11-10T11:10:00-08:00 Most teams still use agents one task at a time: prompt, wait, review, repeat. In this hands-on workshop, you'll go further and hand an entire stream of work to agents with Factory. Bring your laptop. We'll take a real project from goal to merged PRs, setting up the scope, guardrails, and review checkpoints that make delegation safe. You'll leave with a workstream running and a playbook for deciding what to hand off next. #### 10:40am - 11:05am · One Rule, One Throwaway Skill: Agent Migrations with ast-grep - Room: Continental 1–3 (Workshop Room 1) - Type: workshopTalk (Stage Talk) - Speakers: Justin Poehnelt (CTO, Helen's Foundry) - Starts: 2026-11-10T10:40:00-08:00 · Ends: 2026-11-10T11:05:00-08:00 Coding agents struggle with large migrations. A migration produces thousands of diffs, agents apply the same fix five different ways, and nobody can reliably say how much work remains. I migrated a production codebase to Effect by pairing each change with an ast-grep rule that matches the old pattern and a temporary skill that tells an agent how to fix a match. The list of matches told agents what to work on and told me how much was left. It also divided the work across parallel agents without overlap. But agents could also make a match disappear without fixing it, so I had to write rules that were hard to evade. I’ll show how the rule and skill pair worked on a real migration and what I would change next time. #### 11:10am - 11:40am · Networking Break - Room: Continental Foyer - Type: other - Starts: 2026-11-10T11:10:00-08:00 · Ends: 2026-11-10T11:40:00-08:00 #### 11:40am - 12:05pm · Inference Engineering for Coding Agents - Room: Continental 1–3 (Workshop Room 1) - Type: workshopTalk (Stage Talk) - Speakers: Philip Kiely (Author of Inference Engineering, Baseten) - Starts: 2026-11-10T11:40:00-08:00 · Ends: 2026-11-10T12:05:00-08:00 Coding agents are a dominant use case for LLMs, but they tend to use generalized inference setups even at large scale. Like any optimization problem, in inference you can get better results with better constraints. This talk shares specific techniques that you can apply when building an inference service for exclusive use in coding agents, including targeted quantization and pruning schemes, domain-specific post-training, KV cache management around compaction events, subagent session affinity in a world of autoscaling and load balancing, and code-specific speculative decoding techniques across both common model-based approaches (DFlash, DSpark, EAGLE) and deterministic speculation using n-grams. #### 11:40am - 12:40pm · Build Your Own Agent Harness with eve and Vercel - Room: Continental 4 (Workshop Room 2) - Type: workshop (Workshop) - Speakers: Owen Kephart (Member of Technical Staff, Vercel) - Starts: 2026-11-10T11:40:00-08:00 · Ends: 2026-11-10T12:40:00-08:00 What does it take to build an agent that works across users, tools, and shared environments? In this hands-on workshop, we’ll introduce eve, Vercel’s agent framework, and explore the fundamentals of building your own agent harness. We’ll walk through the architecture behind multiplayer agents and how Vercel’s infrastructure fits together: Workflows for durable execution, Sandbox for isolated code execution, and AI Gateway for model access. Then we’ll put these concepts into practice through a guided exercise you can adapt to your own use case. You’ll leave with a practical understanding of the pieces behind an agent harness and a starting point for building and running your own agents on Vercel. Bring your laptop for the hands-on portion. #### 11:40am - 12:40pm · What Runs Where: The State of Local AI - Room: Continental 6 (Workshop Room 3) - Type: workshop (Workshop) - Speakers: Ahmad Osman (Founder & CEO, Osmantic) - Starts: 2026-11-10T11:40:00-08:00 · Ends: 2026-11-10T12:40:00-08:00 A look at where local AI stands today and where it might be headed. Drawing on experiences with models, hardware, and the people building with them, this session explores what’s changing, what’s becoming possible, and how local AI fits into the broader AI landscape. #### 11:40am - 12:40pm · Closing the Agentic Loop: Getting Agents to Safely Build, Verify, and Ship - Room: Continental 7–9 (Workshop Room 4) - Type: workshop (Workshop) - Speakers: Kent C. Dodds (Software Engineer & Educator, Independent) - Starts: 2026-11-10T11:40:00-08:00 · Ends: 2026-11-10T12:40:00-08:00 Agents can write code. That's not the hard part anymore. The hard part is trusting what they ship. In this hands-on workshop, I'll show you the loop I run every day: agents safely build, verify, and deploy the outcomes I want, and that loop is hooked up to signal (my own ideas, user feedback, bug reports, and friction) so it keeps itself going. I haven't read 1% of the code in my product, and agents author and merge most of the PRs. That only works because of the system around them. We'll start by running autopilot (npx kcd-skills@latest autopilot) on a real repo, yours if you want, and use the questions it asks to lay the foundation: invariants, decision records that say when it's OK to change them, a primitives catalog, and an AGENTS.md that's a router, not a novel. Then we'll get into verification. That means separate reviewer agents, PR templates that have you review systems instead of code, cloud agents with their own computers that show their work, and a control CLI your agents maintain for themselves. Finally, we'll limit the blast radius with feature flags, health checks, and backups you've actually restored, and wire up the loops that keep it all moving. Bring a laptop and a repo you own. What you'll walk away with: - An autopilot plan for your own repo, with each step your agents can take on next - A primitives catalog and invariants your agents actually follow - A PR template built around intent, one-way vs. two-way doors, and system diagrams, so you review systems instead of code - A verification setup: an AI reviewer, agents that test the running app, and a control CLI they maintain - A blast-radius checklist: flags with an owner, a metric, and a removal condition, health checks after deploy, and tested restores - The loops that keep it going: bug reports, user feedback, friction, and nightly cleanup Prerequisites: nothing to install ahead of time, but a good internet connection matters. To follow along on your own code, bring a laptop with a coding agent you already use (Cursor, Claude Code, Codex, etc.) signed in, plus a GitHub repo you own and can open pull requests on. #### 12:10pm - 12:35pm · Proactive Agent Engineering - Room: Continental 1–3 (Workshop Room 1) - Type: workshopTalk (Stage Talk) - Speakers: Sydney Runkle (Product Manager, LangChain) - Starts: 2026-11-10T12:10:00-08:00 · Ends: 2026-11-10T12:35:00-08:00 We’ve seen a shift in the architecture of bleeding edge agents, motivated by the design of popular personal agents like Muse and Instinct. The latest agents run in the background and make progress on much larger goals. These proactive agents use primitives like schedules and event triggers, async subagents, browser use, and integrations with Slack and other messaging channels. Perhaps most importantly, they all have robust memory systems, which I’ll argue are the key to hitting the Goldilocks standard for proactivity. #### 12:40pm - 1:50pm · Lunch - Room: Continental 5 (Breakfast & Lunch) - Type: other - Starts: 2026-11-10T12:40:00-08:00 · Ends: 2026-11-10T13:50:00-08:00 #### 1:50pm - 2:15pm · What It Takes to Run a Company on Agent Swarms - Room: Continental 1–3 (Workshop Room 1) - Type: workshopTalk (Stage Talk) - Speakers: Karan Vaidya (Co-founder/CTO, Composio) - Starts: 2026-11-10T13:50:00-08:00 · Ends: 2026-11-10T14:15:00-08:00 How harness evolved from code to Knowledge work #### 1:50pm - 2:50pm · AFK Engineering: From Terminal to Voice-Controlled Remote Agents (Part 1) - Room: Continental 4 (Workshop Room 2) - Type: workshop (Workshop) - Speakers: Philipp Schmid (MTS, Google DeepMind); Thor Schaeff (Member of the Technical Staff, Google DeepMind); Ivan Leo (Member of Technical Staff, Google DeepMind) - Starts: 2026-11-10T13:50:00-08:00 · Ends: 2026-11-10T14:50:00-08:00 You will move from local coding in Google Antigravity to building a sandboxed remote agent on Gemini Managed Agents with reusable skills, vaulted credentials, and remote MCP. From there, you will connect the Gemini Live API to trigger remote tasks and steer your agents by voice. #### 1:50pm - 2:50pm · A Field Guide to Agent Shapes: From Long-Horizon to Open-Ended - Room: Continental 6 (Workshop Room 3) - Type: workshop (Workshop) - Speakers: Yacine Mahdid (CEO, Datadom) - Starts: 2026-11-10T13:50:00-08:00 · Ends: 2026-11-10T14:50:00-08:00 Agents in 2026 split into a bunch of distinct shapes like externalized context with RLMs, agents messaging each other, harnesses the agent rewrites itself, sandboxes, orchestrators with sub-agents, and brute-force recombination. This talk goes through what each one helps with, then looks at three real deployments in industries/domains generally lagging in AI adoption that reused some of these patterns. We finish on where this is heading in 2027 with models that edit their own context, tweak other networks, get trained for exploration earlier, and learn continuously from tasks they generate themselves. #### 1:50pm - 2:50pm · Keep the Harness, Own Your Inference - Room: Continental 7–9 (Workshop Room 4) - Type: workshop (Workshop) - Speakers: Francisco Javier Arceo (Forward Deployed Engineer, Baseten) - Starts: 2026-11-10T13:50:00-08:00 · Ends: 2026-11-10T14:50:00-08:00 Claude Code without Claude. Codex without an OpenAI model. We’ll put both harnesses to work on a real codebase with open-weight models running on a DGX Spark. They’ll inspect the repository, change code, and test their work. The terminal experience stays familiar. The entire stack runs on hardware you control. Drawing on our work building vLLM Agentic API, we’ll show how we’re bringing familiar coding harnesses to inference engines and distributed serving stacks including vLLM, SGLang, NVIDIA Dynamo, and llm-d. The goal is to make the harness, model, and serving infrastructure independent choices. With Codex Cloud, the coding harness itself runs remotely. Behind that harness, the Responses API adds another layer of agentic execution: the server can manage conversations, execute tools, and retrieve context. We’ll open up that machinery and explore how responsibility gets divided between the harness and the agentic server. Drawing on our work building vLLM Agentic API, we’ll dig into conversation state, memory through retrieval and file search, and compaction: what the agent remembers, how it finds what it needs, and what survives when its context fills up. As more of the agent runs on servers, owning your inference means understanding—and controlling—this execution stack. You’ll leave with the setup and verification steps to run your own coding agent backend—from a DGX Spark on your desk to a shared GPU cluster. Choose the model, choose the engine, and scale the infrastructure while keeping the coding tools you already use. Key takeaways - Run it locally: connect Codex and Claude Code to open-weight inference on an NVIDIA DGX Spark. - Take it to a cluster: connect the same agent-facing API layer to distributed serving with llm-d or NVIDIA Dynamo. - Make the whole session work: preserve conversation history, tool handoffs, and streaming across backends, then verify the result through a completed coding task. #### 2:20pm - 2:45pm · The new job of the data team is providing context to AI - Room: Continental 1–3 (Workshop Room 1) - Type: workshopTalk (Stage Talk) - Speakers: George Fraser (CEO, Fivetran) - Starts: 2026-11-10T14:20:00-08:00 · Ends: 2026-11-10T14:45:00-08:00 Business intelligence is dead; long live context! The new job of every data team is to provide context to AI, so that when your head of sales asks “give me your 3 best ideas for improving pipeline conversion”, it gives 3 great answers grounded in accurate, correct queries. The tools for providing this solution are the same tools you know and love: AI is just a new consumer of the data stack. Fivetran + dbt labs CEO George Fraser will take you through how real users solve this problem today, and demo live how to connect AI to real data. #### 3:00pm - 3:25pm · Building a Shared AI Assistant: The Platform Challenges Beyond MCP - Room: Continental 1–3 (Workshop Room 1) - Type: workshopTalk (Stage Talk) - Speakers: Utkarsh Shrivastava (Senior Engineering Manager, Netflix) - Starts: 2026-11-10T15:00:00-08:00 · Ends: 2026-11-10T15:25:00-08:00 Two years ago, teams asked our platform team to connect their data to an AI assistant. Today they ship their own MCP servers in a week. That speed is a win, and it swaps one engineering problem for a harder one: how do you decide what gets through, what gets gated, and who owns the gates? This talk gives you a way to answer that — what stays team-owned, what becomes shared platform, and how to tell whether consolidating actually helped. At Netflix, bringing these tools together creates real value. Functions like Finance and Talent can now connect information that previously lived in separate systems. A business user can ask a question in one place instead of taking it to three teams. But that same reach creates ambiguity. Multiple tools expose different versions of the same entity, or claim to answer the same question. As the catalog grows, the assistant has more ways to choose incorrectly. Sometimes a data-owning team discovers that another team has built on its data only when an evaluation fails. How do you build a shared AI assistant that brings tools and data from across a company into one place? At Netflix, product teams increasingly build their own MCP integrations. Our challenge is making those capabilities work together so employees can get answers across teams through a single assistant. This talk covers the decisions and mechanisms behind that shift: connector certification, an internal benchmark built from real employee queries that we use to evaluate routing between overlapping tools, and how we classify actions to separate what an agent can do on its own from what needs a person first. We'll examine where our initial domain boundaries broke down, what required agreement between teams, and why better tool descriptions alone couldn't resolve the conflicts. We'll close on what we haven't solved: who owns the authoritative version of an entity, how to retire a connector other teams depend on, and when the benefits of a shared capability justify the coordination it requires. #### 3:00pm - 4:00pm · AFK Engineering: From Terminal to Voice-Controlled Remote Agents (Part 2) - Room: Continental 4 (Workshop Room 2) - Type: workshop (Workshop) - Speakers: Philipp Schmid (MTS, Google DeepMind); Thor Schaeff (Member of the Technical Staff, Google DeepMind); Ivan Leo (Member of Technical Staff, Google DeepMind) - Starts: 2026-11-10T15:00:00-08:00 · Ends: 2026-11-10T16:00:00-08:00 You will move from local coding in Google Antigravity to building a sandboxed remote agent on Gemini Managed Agents with reusable skills, vaulted credentials, and remote MCP. From there, you will connect the Gemini Live API to trigger remote tasks and steer your agents by voice. #### 3:00pm - 4:00pm · Hands-on Gitar: An AI Code Verification Agent for Your CI - Room: Continental 6 (Workshop Room 3) - Type: workshop (Workshop) - Speakers: Taylor Luttrell-Williams (Developer Content Engineer, Sonar) - Starts: 2026-11-10T15:00:00-08:00 · Ends: 2026-11-10T16:00:00-08:00 Gitar is Sonar’s AI code verification agent, complementing SonarQube with an understanding of each change’s context and intent. In this hands-on workshop, you’ll install Gitar as a GitHub App and use it across three pull request scenarios that show how verification goes beyond code review. Gitar verifies every change against your project's context and rules, catches problems, generates working fixes, and iterates until your CI pipeline passes. You'll leave knowing how to set up Gitar on your own repositories. You'll also see how it delivers ready-to-merge, green PRs with high signal and low noise, while your team keeps control. #### 3:00pm - 4:00pm · Build a personal agent with Exa Search - Room: Continental 7–9 (Workshop Room 4) - Type: workshop (Workshop) - Speakers: Jakub Hojsan (Forward Deployed Engineer, Exa) - Starts: 2026-11-10T15:00:00-08:00 · Ends: 2026-11-10T16:00:00-08:00 A personal agent gets asked everyday questions: where to eat near the office that's open late, whether it will rain on Saturday, how the Warriors did last night, what a stock did this week. Exa answers all of these through one search call. Places come back with addresses, hours and reviews; weather comes back as daily forecasts; sports come back as scores, standings and schedules. You don't need a separate API for each. In this session, Jakub Hojsan, forward deployed engineer at Exa you show you how to build a personal agent on Exa search that handles a day's worth of real requests, from finding dinner to planning around the weather. We will provide a repo to work out of as part of this workshop. #### 3:30pm - 3:55pm · Building World-class Agentic GTM: Learnings from Monaco for Monaco - Room: Continental 1–3 (Workshop Room 1) - Type: workshopTalk (Stage Talk) - Speakers: Mihail Eric (Head of AI, Monaco) - Starts: 2026-11-10T15:30:00-08:00 · Ends: 2026-11-10T15:55:00-08:00 Building a custom agents platform is one of the key pieces to unlocking AI for complex verticalized business workflows. Monte Carlo is the sales-specific system we've built to help scale Monaco's revenue: a platform where revenue teams encode their own playbooks as agents that run against everything we've ingested about their business, including pipeline, outbound, calls, and the CRM. Sales is a particularly complex vertical for the following reasons: no two revenue orgs look alike, the data is large and heterogeneous, and the expertise that matters lives in per-rep workflows nobody has written down. Over the last 2 years, we’ve built a custom harness and orchestration system to power our world-class GTM team. In this talk, I'll break down the components a verticalized agent platform needs in order to be fast and correct, including an execution plane, memory and curated implicit and explicit context, how expertise gets represented, and the evaluation loop, along with what is still unresolved. #### 4:00pm - 4:30pm · Networking Break - Room: Continental Foyer - Type: other - Starts: 2026-11-10T16:00:00-08:00 · Ends: 2026-11-10T16:30:00-08:00 #### 4:30pm - 4:55pm · Multiplayer software factories - Leading the shift to concurrent delivery - Room: Continental 1–3 (Workshop Room 1) - Type: workshopTalk (Stage Talk) - Speakers: Patrick Debois (AI Product Engineer, Tessl) - Starts: 2026-11-10T16:30:00-08:00 · Ends: 2026-11-10T16:55:00-08:00 Your whole team runs coding agents now, and they all land on one main. Continuous delivery wasn't built for that. This talk maps what breaks when a software factory goes multiplayer, and the patterns that fix it: one main for the agents, one board for the people. #### 4:30pm - 5:30pm · Our Agents Shipped 6,000 PRs to 600+ Companies in The First Month. Now They Build Features - Room: Continental 4 (Workshop Room 2) - Type: workshop (Workshop) - Speakers: Alex Lebedev (AI Product Engineer, PostHog) - Starts: 2026-11-10T16:30:00-08:00 · Ends: 2026-11-10T17:30:00-08:00 PostHog Self-driving wrote 6,000+ pull requests in its first month that 600+ companies chose to merge. We showed the signal-to-PR pipeline at AI Engineer in London this April, and released it in late June. I'll show what happened since: where agents overreached, what we threw away, what's still science fiction, and the jump from fixing bugs to building features. The system now pitches features backed by your product data, builds them, and reviews them paranoidly, testing like a real customer. All open source. Real PRs, real reviews, real failures, shown live. #### 4:30pm - 5:30pm · Do it All with Devin - Room: Continental 6 (Workshop Room 3) - Type: workshop (Workshop) - Speakers: Giovanni D'Antonio (Research, Cognition) - Starts: 2026-11-10T16:30:00-08:00 · Ends: 2026-11-10T17:30:00-08:00 What is the future of post training in coding. What a modern research team looks like, and how Devin is part of it. #### 4:30pm - 5:30pm · Build your first Kiro Crew app: An agent that triages your backlog while you sleep - Room: Continental 7–9 (Workshop Room 4) - Type: workshop (Workshop) - Speakers: Arundeep Nagaraj (Head of Customer Success, Kiro, AWS); Dan Kiuna (Specialist Solutions Architect, Kiro, AWS) - Starts: 2026-11-10T16:30:00-08:00 · Ends: 2026-11-10T17:30:00-08:00 Most people meet AI agents as a chat bot. In this hands-on workshop you will build one that works while you are not watching. Starting from an empty directory, you will install Kiro Crew, an open-source orchestration layer for coding agents, and ship a working app: an agent that reads your repository’s open issues, finds the duplicates, explains why it thinks so, and posts its findings on a schedule. Along the way you will give the agent persistent memory so it stops re-reading what it already knows, fan the work out across background subagents so a thousand issues do not take a thousand turns, and set the boundary that decides what it may and may not touch. Bring a laptop and a GitHub repository you care about. You will leave with the app running, and with a clear picture of what separates a demo from something you would actually let run unattended. #### 5:00pm - 5:25pm · Warning: This Pull Request Contains Graphic Content - Room: Continental 1–3 (Workshop Room 1) - Type: workshopTalk (Stage Talk) - Speakers: Stephen Chin (VP of Developer Relations, Neo4j); Cassandra Chin (Book Author, Keynote Speaker, and Kids Workshop Instructor, Independent) - Starts: 2026-11-10T17:00:00-08:00 · Ends: 2026-11-10T17:25:00-08:00 AI coding agents can turn a small feature request into a substantial code change and a pull request description that reads like a short novel. Yet the decisions, failed experiments, and human interventions that shaped the result remain buried in agent sessions. Reviewers reconstruct the history, question unsupported claims, and send the PR back for another costly round. Compressing the context into fewer tokens still leaves them searching for the missing connections. TraceToon uses that history to create better PR descriptions and comics grounded in the work behind the diff. With Relate, an embedded, in-memory graph database, TraceToon connects prompts and decisions to code changes and verification runs. It retrieves the evidence neighborhood around each change and turns it into a focused brief for drafting and review. The comic makes the wrong turns and corrections visible, while the technical description explains the behavior, rationale, and checks that support the result. Following a real pull request from Claude Code, Codex, or Antigravity sessions to a finished PR and comic, we’ll show how the graph keeps the story honest: connecting sessions to branch changes, distinguishing an earlier passing test from validation of the submitted code, and preserving uncertainty when evidence is incomplete. We’ll also show how connected evidence, a tuned brief, and cost-effective reviewers work together to improve PR quality and lower total drafting cost in our benchmarks. Attendees will leave with an open source workflow and practical patterns for using graph context and visual storytelling to make agent work easier to understand and review. #### 5:25pm - 5:30pm · MC Outro - Room: Continental 1–3 (Workshop Room 1) - Type: workshopTalk (Stage Talk) - Speakers: Richelle Ji (Chief of Staff, Featherless AI) - Starts: 2026-11-10T17:25:00-08:00 · Ends: 2026-11-10T17:30:00-08:00 #### 5:30pm - 8:30pm · Opening Reception - Room: Golden Gate (Expo Hall, Lunch & Reception) - Type: other - Starts: 2026-11-10T17:30:00-08:00 · Ends: 2026-11-10T20:30:00-08:00 ### Wednesday, November 11 #### 8:00am - 5:40pm · Token Billionaires Lounge - Room: Continental 7 (Token Billionaires Lounge) - Type: other - Starts: 2026-11-11T08:00:00-08:00 · Ends: 2026-11-11T17:40:00-08:00 #### 8:00am - 5:40pm · Registration - Room: Registration (outside Golden Gate) - Type: other - Starts: 2026-11-11T08:00:00-08:00 · Ends: 2026-11-11T17:40:00-08:00 #### 9:00am - 9:10am · MC Intro - Room: Continental 4–6 (Mainstage) - Type: talk (Stage Talk) - Speakers: Corey Quinn (Chief Cloud Economist, The Duckbill Group) - Starts: 2026-11-11T09:00:00-08:00 · Ends: 2026-11-11T09:10:00-08:00 #### 9:10am - 9:30am · What Will You Build When AI Is 10x Faster? - Room: Continental 4–6 (Mainstage) - Type: talk (Stage Talk) - Speakers: Natalie Serrino (Co-Founder, Gimlet Labs) - Starts: 2026-11-11T09:10:00-08:00 · Ends: 2026-11-11T09:30:00-08:00 Many AI product decisions are influenced by how long someone will wait for an answer. Do you give an agent another pass to check its answer, or make it respond faster? Can your voice assistant finish reasoning before the pause gets awkward? Faster inference gives developers the option to build smarter, more responsive user experiences. We’ll look at what faster inference lets you build, from more responsive voice applications to agents that can try, test, and update within a few seconds. We’ll discuss when speed is worth paying for, when other parts of your application become the bottleneck, and how to use higher responsiveness. Along the way, we’ll share how Gimlet combines GPUs and specialized accelerators to make inference faster, and what that means for the developers using that speed. #### 9:30am - 9:50am · Rethinking Claude Code Best Practices - Room: Continental 4–6 (Mainstage) - Type: talk (Stage Talk) - Speakers: Lydia Hallie (Member of Technical Staff, Anthropic) - Starts: 2026-11-11T09:30:00-08:00 · Ends: 2026-11-11T09:50:00-08:00 The models have gotten really good, and most of what we've added to our Claude Code setups over the past year is now holding them back. In this talk I'll go through what Claude Code best practices look like for the Claude 5.5 models, what's still worth keeping, and what you no longer need to think about. #### 9:50am - 10:10am · cloudflare is a neolab - Room: Continental 4–6 (Mainstage) - Type: talk (Stage Talk) - Speakers: Michelle Chen (Group Product Manager, Cloudflare) - Starts: 2026-11-11T09:50:00-08:00 · Ends: 2026-11-11T10:10:00-08:00 we trained some new system one models (clef, clairic). they fit perfectly within our decade-old primitives like workers, our edge latency hypothesis for workers ai, and our ambition to be the agent cloud. #### 10:10am - 10:30am · All Code Is Slop (Except Mine) - Room: Continental 4–6 (Mainstage) - Type: talk (Stage Talk) - Speakers: Lauren Tan (Principal Engineer, SpaceXSI (xAI)) - Starts: 2026-11-11T10:10:00-08:00 · Ends: 2026-11-11T10:30:00-08:00 The Grok Bot team at SpaceXAI lands hundreds of PRs a day. Nobody reads them all, yet quality goes up anyway. In this talk, we'll find out how the Grok Bot team turns slop into gold at an incredible pace. #### 10:30am - 10:40am · MC Outro - Room: Continental 4–6 (Mainstage) - Type: talk (Stage Talk) - Speakers: Corey Quinn (Chief Cloud Economist, The Duckbill Group) - Starts: 2026-11-11T10:30:00-08:00 · Ends: 2026-11-11T10:40:00-08:00 #### 10:40am - 4:00pm · Expo Hall Hours - Room: Golden Gate (Expo Hall, Lunch & Reception) - Type: other - Starts: 2026-11-11T10:40:00-08:00 · Ends: 2026-11-11T16:00:00-08:00 #### 10:40am - 11:20am · Networking Break - Room: Golden Gate (Expo Hall, Lunch & Reception) - Type: other - Starts: 2026-11-11T10:40:00-08:00 · Ends: 2026-11-11T11:20:00-08:00 #### 10:55am - 11:15am · Manage Yourself Out of the Loop - Room: Continental 1–3 (Expo Sessions) - Type: breakout (Stage Talk) - Speakers: Erik Thorelli (Head of Developer Experience, CodeRabbit) - Starts: 2026-11-11T10:55:00-08:00 · Ends: 2026-11-11T11:15:00-08:00 More coding agents mostly means more tabs to watch. In the past year, one of our engineers went from about 20 merged pull requests a month to nearly 7,000. I'll show what we changed in our repos so an agent can take one small feature from prompt to merge on its own. #### 11:20am - 11:40am · I deleted 90% of my harness (And It Got Better) - Room: Continental 4–6 (Mainstage) - Type: talk (Stage Talk) - Speakers: Philipp Schmid (MTS, Google DeepMind) - Starts: 2026-11-11T11:20:00-08:00 · Ends: 2026-11-11T11:40:00-08:00 Alt Title: Why Models Are Superhuman with Bash (Where Humans Fail) --- I spent my day to day building a agents with custom tools for everything. Every few month I decide to delete everything and see what is not needed anymore. I stripped out every dedicated tool until only Bash remained. I cut the prompt to 300 tokens and made the execution loop asynchronous. Benchmark scores jumped. Experience went up. Rich Sutton called this the Bitter Lesson: building human heuristics into AI always loses to general methods backed by compute. Models are now superhuman with the bash. A frontier model can synthesize an ad-hoc 15-line pipeline combining Python AST parsing, ripgrep, git diffs, and subshells in 200ms to make progress on a users task, there is no need for dedicated edits, search or grep tools anymore. Learn how to delete your code. #### 11:20am - 11:40am · Refactor or Rot: Building a self-improving codebase - Room: Continental 1–3 (Expo Sessions) - Type: breakout (Stage Talk) - Speakers: Jacob Prall (Lead DX Engineer, Render) - Starts: 2026-11-11T11:20:00-08:00 · Ends: 2026-11-11T11:40:00-08:00 Your coding agents run in loops: plan, implement, test, repeat. This inner loop focuses on completing a task, and it tends to get all the attention. But there’s an outer loop, too. Each agent builds on the codebase the last one left behind, inheriting its patterns, abstractions, and shortcuts. Those patterns can make the codebase easier to understand, maintain, and extend, or compound complexity and make future changes riskier. In this talk, I’ll show you how to build an outer loop that reinforces code quality and counteracts decay. Drawing on classic software design and refactoring techniques, we’ll equip an agent with skills to identify code smells, reason about coupling and module boundaries, and recommend refactors that make future changes easier. We’ll wire that analysis into the development lifecycle, running on PRs and across the codebase, weighing each recommendation’s benefit against its cost and risk. You’ll learn when to refactor, when to leave working code alone, and how to make refactoring part of your development workflow, so your coding agents leave behind codebases that are better, not just bigger. #### 11:45am - 12:05pm · The Rise of the Agent Workforce: Rethinking Agent Infrastructure - Room: Continental 4–6 (Mainstage) - Type: talk (Stage Talk) - Speakers: Ankit Mathur (Member of Technical Staff, Databricks) - Starts: 2026-11-11T11:45:00-08:00 · Ends: 2026-11-11T12:05:00-08:00 The next generation of agents won't just answer questions. They'll work autonomously, collaborate with other agents, and learn from experience. As we move from interactive chatbots to persistent agent workforces, the infrastructure powering them needs to fundamentally evolve. In this talk, we'll explore the emerging architecture of agentic systems, from stateful sandboxes and persistent memory to agent communication and orchestration. We'll examine why today's agent platforms aren't built for this future, and what it will take to power a world where teams of agents can tackle complex, long-running work together. #### 11:45am - 12:05pm · Heal Your Agents, Don't Just Grade Them - Room: Continental 1–3 (Expo Sessions) - Type: breakout (Stage Talk) - Speakers: Khasimul Asif Mohammad (Principal Product Manager, Splunk); Sudhir Tonse (Director of Engineering, Splunk) - Starts: 2026-11-11T11:45:00-08:00 · Ends: 2026-11-11T12:05:00-08:00 Your evals are green, and users are still hitting failures. The evals aren't wrong. They test what you anticipated, and production at millions of sessions a day keeps inventing failures nobody wrote a test for, many visible only as a pattern across sessions. Detecting those failures continuously is a hard problem in its own right. Every agent fails differently, the failures that matter are rare, and a detector that flags everything is as useless as one that flags nothing. We've been working on this with customers running agents at scale and by running it on our own agents, learning which failures are worth surfacing and which are just noise. Along the way, three engineering problems kept coming up: Economics: you can't afford to run a reasoning model over every session, so what do you screen with, and what earns a closer look? Noise: a thousand flagged sessions are usually a handful of root causes. How do you collapse them and decide which to fix first? Trust: when a coding agent proposes the fix as a pull request, what has to be true before you merge it? How do you verify each fix and expand to cover every failure you find so it stays caught? You'll leave with the tradeoffs that matter when you move from grading agents to healing them, drawn from teams doing it today #### 12:10pm - 12:30pm · Building a Safe Software Factory - Room: Continental 4–6 (Mainstage) - Type: talk (Stage Talk) - Speakers: Andrew Finch (Staff Software Engineer, Sonar) - Starts: 2026-11-11T12:10:00-08:00 · Ends: 2026-11-11T12:30:00-08:00 Coding agents have made code cheap to write, and teams are shipping 10× more changes than they did two years ago. Human review was built for human speed, so the industry is moving from reviewed PRs to automated software factories. At Gitar and Sonar, we are learning how to build a safe software factory, with layers of verification across the system. We'll share what we've been learned so far, and where we think this trend is headed. #### 12:10pm - 12:30pm · How to build agents over your own data - Room: Continental 1–3 (Expo Sessions) - Type: breakout (Stage Talk) - Speakers: Aamir Shakir (CEO, Mixedbread) - Starts: 2026-11-11T12:10:00-08:00 · Ends: 2026-11-11T12:30:00-08:00 The biggest bottleneck to building powerful internal agents is giving them the right organizational context. When agents can reliably find that context, they can answer questions, review code, investigate incidents, and automate workflows across the company. But company knowledge is scattered across Slack, email, Google Drive, code repositories, Linear, internal documentation, and multiple versions of the same information. Putting everything into the model’s context is expensive, risky, and often reduces answer quality. Connecting every source through separate MCP servers creates another bottleneck: the agent must make numerous tool calls while inheriting each service’s latency, rate limits, and uneven search quality. This talk shows how to separate retrieval from reasoning by giving internal agents a unified search layer for company knowledge. We’ll explore how a search subagent breaks down complex tasks, combines semantic and exact retrieval across systems, preserves source permissions, verifies freshness and versions, and returns compact, cited evidence to the acting agent. Through realistic internal workflows, we’ll demonstrate how better retrieval makes agents more accurate, traceable, and useful while reducing tool calls, latency, and cost. #### 12:35pm - 12:55pm · Earning Autonomy: From Missions to Workstreams - Room: Continental 4–6 (Mainstage) - Type: talk (Stage Talk) - Speakers: Luke Alvoeiro (Member of Technical Staff, Factory) - Starts: 2026-11-11T12:35:00-08:00 · Ends: 2026-11-11T12:55:00-08:00 Seven months ago, Factory introduced Missions, an orchestrator that ran worker agents through a full project with validation at every milestone. Real customer projects showed its limits. It only handled code, it was built for older models, and its context belonged to one person instead of the team. Luke Alvoeiro explains how Factory rebuilt it. A more token-efficient Droid made running many agents affordable. Environments let agents scale out inside a customer's own VPC. The new Missions gives each project a long-lived home with one orchestrator, shared context, and more autonomy as validation earns trust. When a project moves into maintenance, its mission graduates into a workstream: agents that turn bug reports, alerts, and ideas into validated, shipped software. #### 12:35pm - 12:55pm · The Software Factory That Needs Zero FDEs - Room: Continental 1–3 (Expo Sessions) - Type: breakout (Stage Talk) - Speakers: Raz Berman Gold (Co-Founder & CTO, Overcut) - Starts: 2026-11-11T12:35:00-08:00 · Ends: 2026-11-11T12:55:00-08:00 Working alone with Claude feels like a superpower. You open a session, give it the right context, and watch it ship. Scaling that to a whole engineering org is where it breaks. One agent with more context, more tools and more responsibility starts drifting, costs climb, and nobody can tell which part failed. So most "AI software factories" quietly ship with a team of forward-deployed engineers who wire up every customer by hand. We built Overcut so a factory doesn't need them. Instead of one big agent, it uses small agents with clear jobs: triage, root-cause analysis, implementation, code review and verification. Each one has its own context, model and memory, so it can be measured and improved on its own. Orchestration connects them. Workflows react to events in GitHub, Jira and Slack, run in parallel, and stop at human approval gates where it matters. Because every piece is a reusable building block, teams assemble their factory from ready-made parts instead of waiting for someone to build it for them. Then we'll prove it live. Starting from an empty project, we'll build the factory on stage: a production alert in Slack becomes a Jira ticket with a root-cause analysis, the ticket becomes a pull request, and the PR is reviewed and fixed until it's ready to merge. No FDEs, no hand-wiring. You'll leave with architecture patterns you can apply tomorrow , whether you're one developer or rolling out agents across a whole company. #### 12:55pm - 2:05pm · Lunch - Room: Golden Gate (Expo Hall, Lunch & Reception) - Type: other - Starts: 2026-11-11T12:55:00-08:00 · Ends: 2026-11-11T14:05:00-08:00 #### 2:05pm - 2:23pm · I love you so jevving much - Room: Continental 4–6 (Mainstage) - Type: talk (Stage Talk) - Speakers: Diogo Almeida (Co-founder & CEO, TypeSafe AI) - Starts: 2026-11-11T14:05:00-08:00 · Ends: 2026-11-11T14:23:00-08:00 Let's talk about the state of AI, how something like jev stayed under the radar for years, how we made it, and most importantly: what comes next! I've been told that this crowd is the absolute best of any conference for building the future, so let's jam about sci-fi and finally build some sick smart software. #### 2:05pm - 2:25pm · Coding Agents and How to Tame Them - Room: Continental 1–3 (Expo Sessions) - Type: breakout (Stage Talk) - Speakers: Ivan Leo (Member of Technical Staff, Google DeepMind) - Starts: 2026-11-11T14:05:00-08:00 · Ends: 2026-11-11T14:25:00-08:00 Coding agents are remarkably capable one minute and burning 50,000 tokens in a broken loop the next. Over the past few months at Google DeepMind, I've worked with Kaggle to audit over 50 coding benchmarks trace by trace and build a platform to evaluate frontier agents at scale. In this short 18-minute talk, we'll cover the weird failure modes we caught in the wild, the lessons we learned building air-gapped sandboxes, and how to take those same lessons to design better harnesses, verifiers, and coding environments for your own agents. #### 2:30pm - 2:43pm · Beyond Generation: Fast, Structured AI Decisions with Jev at Glean - Room: Continental 4–6 (Mainstage) - Type: talk (Stage Talk) - Speakers: Chinmay Goyal (Software Engineer, Glean) - Starts: 2026-11-11T14:30:00-08:00 · Ends: 2026-11-11T14:43:00-08:00 Not every step in an AI product needs a full generative LLM call. Many are bounded decisions, like understanding what a user is asking for, picking the best suggestion to show, checking whether an answer's citations hold up, routing to the right tool or model, or deciding if a request needs a guardrail. In this session, I'll walk through how Glean has been exploring Jev across these decisions, what we learned about where fast, confidence-scored decisions shine, and how we evaluate these models before they reach users. #### 2:30pm - 2:50pm · More Checks, Less Noise: Layered Security for AI-Assisted Development - Room: Continental 1–3 (Expo Sessions) - Type: breakout (Stage Talk) - Speakers: Taylor Luttrell-Williams (Developer Content Engineer, Sonar); Killian Carlsen-Phelan (Developer Content Engineer, Sonar) - Starts: 2026-11-11T14:30:00-08:00 · Ends: 2026-11-11T14:50:00-08:00 More security checks should mean more confidence, not more alerts to ignore. As AI accelerates code production, how do we add independent verification without turning development into an obstacle course? This session explores two dimensions of application security: using complementary analysis methods and placing checks at useful points throughout the software development lifecycle. We’ll examine where deterministic analysis provides repeatable checks, where probabilistic, AI-powered review can add context-sensitive reasoning, and why simply stacking tools can create more noise than assurance. We’ll start with a vendor-neutral framework for choosing checks, prioritizing findings, and keeping review actionable. Then, a live demo will bring three complementary approaches together: static application security testing (SAST), software composition analysis (SCA), and AI-powered analysis of logic-level vulnerabilities. You’ll leave with a practical way to evaluate layered verification: what each check contributes, where it belongs, and how to turn its findings into manageable work rather than another queue of alerts. #### 2:48pm - 3:01pm · Your Automation Is Overthinking It - Room: Continental 4–6 (Mainstage) - Type: talk (Stage Talk) - Speakers: Chibi Vikram (Engineer, UiPath); Kevin Bernstein (Principal AI Solution Architect, UiPath) - Starts: 2026-11-11T14:48:00-08:00 · Ends: 2026-11-11T15:01:00-08:00 Enterprise automation gets hard to maintain when a single agent is responsible for understanding a request, finding evidence, and deciding what happens next. Drawing on two decades of experience automating business processes, we'll show how to break that work into steps a team can understand, test, and change. We'll explore when a focused judgment is enough, when a generative model should investigate, and when a person should step in. We'll share what we learned about accuracy, speed, and cost so you can make those choices in your own workflows. #### 2:55pm - 3:15pm · Ground Truth or Dare: Using Oracles to Make Postgres Reactive - Room: Continental 1–3 (Expo Sessions) - Type: breakout (Stage Talk) - Speakers: James Arthur (Staff, Databricks) - Starts: 2026-11-11T14:55:00-08:00 · Ends: 2026-11-11T15:15:00-08:00 Live SQL is the holy grail of realtime. Subscribe to any SQL query, with joins, aggregates and ordering, and the result stays live as your data changes. It’s easy to describe but very hard to build. At Electric, we spent years chasing it. Then we joined Neon and built it in weeks with coding agents, inside Postgres. Live queries are database infrastructure. This isn’t code you hand to an agent and hope for the best. So we used Postgres’s own query engine as an oracle. Once the agents had the ability to verify their own work, they could go super fast and burn down through the featue requirements. In this talk, I’ll cover what we built, how we built it and how oracles let us have both truth and dare: to get it right and ship fast with agents. #### 3:06pm - 3:19pm · Your Judge Is Hallucinating Too - Room: Continental 4–6 (Mainstage) - Type: talk (Stage Talk) - Speakers: Brian Kennedy (Principal AI Software Engineer, ZoomInfo) - Starts: 2026-11-11T15:06:00-08:00 · Ends: 2026-11-11T15:19:00-08:00 Every step an agent takes in ZoomInfo's Agent Teams is graded by another model. Then we ran Jev beside it and found the grader was passing work that never happened. This talk is about what we found, what we replaced, and why "did the agent do a good job?" is the wrong question to ask a model. #### 3:20pm - 3:40pm · CVE remediation with Factory: from finding to merged PR - Room: Continental 1–3 (Expo Sessions) - Type: breakout (Stage Talk) - Speakers: Nikhil Harithas (Head of Deployed Engineering, Factory) - Starts: 2026-11-11T15:20:00-08:00 · Ends: 2026-11-11T15:40:00-08:00 Description TBD #### 3:24pm - 3:37pm · Autocomplete for Actions: System One from the UI to the DB - Room: Continental 4–6 (Mainstage) - Type: talk (Stage Talk) - Speakers: Scott Roberts (Principal Engineer, Workday) - Starts: 2026-11-11T15:24:00-08:00 · Ends: 2026-11-11T15:37:00-08:00 Search guesses your next word. Workday's Sana guesses your next task. Millions of people use Workday to check their pay, book time off and find their team, and most of those requests are too simple to wait on a full LLM turn. I'll show how we use Jev as a System One model from the UI to the DB: picking the right action card while you type, and running inside DuckDB as a SQL filter. #### 3:45pm - 4:05pm · Leaving Localhost: Building an Agent-Native Dev Environment - Room: Continental 1–3 (Expo Sessions) - Type: breakout (Stage Talk) - Speakers: Sajid Mehmood (CEO & Co-founder, Niteshift) - Starts: 2026-11-11T15:45:00-08:00 · Ends: 2026-11-11T16:05:00-08:00 Why is it that Anthropic can port Bun from Zig to Rust in 11 days, while most teams still struggle to make sweeping changes to production software? Bun is complex, but it turns out its verification loop is actually quite clear: there's a well-defined TypeScript spec, and a huge battery of tests the agent can iterate against. This talk will explore techniques to build agent-native dev environments in the cloud that allow for these kinds of tight verification loops for software that's traditionally much harder to verify: tax accounting, vertical AI agents, robotics control systems, etc. We'll discuss how to manage stateful dependencies (databases, queues, caches), third-party services, and seed data so you can focus on architecture & product while your agents handle implementation & testing in the cloud. #### 3:45pm - 4:05pm · Afternoon Break / Keynote Reset - Room: Golden Gate (Expo Hall, Lunch & Reception) - Type: other - Starts: 2026-11-11T15:45:00-08:00 · Ends: 2026-11-11T16:05:00-08:00 #### 4:20pm - 4:30pm · MC Intro - Room: Continental 4–6 (Mainstage) - Type: talk (Stage Talk) - Speakers: Corey Quinn (Chief Cloud Economist, The Duckbill Group) - Starts: 2026-11-11T16:20:00-08:00 · Ends: 2026-11-11T16:30:00-08:00 #### 4:30pm - 4:50pm · What it takes to set intelligence free - Room: Continental 4–6 (Mainstage) - Type: talk (Stage Talk) - Speakers: Fabian Hedin (CTO, Lovable) - Starts: 2026-11-11T16:30:00-08:00 · Ends: 2026-11-11T16:50:00-08:00 Models keep getting better and the systems we build around them need to keep up. This talk goes inside Lovable’s engineering: forkable computers that give agents room to experiment, persistent histories that let them continue longer work, and durable communication that lets them coordinate. We’ll explore what it takes to give agents more independence, and how these foundations could help them build, ship, learn from feedback, and keep improving a product. #### 4:50pm - 5:10pm · How to build an agent that builds the culture - Room: Continental 4–6 (Mainstage) - Type: talk (Stage Talk) - Speakers: Zach Bruggeman (Principal Software Engineer, Ramp) - Starts: 2026-11-11T16:50:00-08:00 · Ends: 2026-11-11T17:10:00-08:00 Ramp built its own coding agent, Inspect, which writes ~75% of merged PRs. At the start of 2026, the technology was the novel part, but today, it's commonplace. In this talk, Zach will talk about how Inspect has evolved this year, and re-shaped the culture of engineering at Ramp around agent-driven development. #### 5:10pm - 5:30pm · Software Factories: Escape from Trash Mountain - Room: Continental 4–6 (Mainstage) - Type: talk (Stage Talk) - Speakers: Steve Yegge (Independent Advisor & Creator of Beads & Gas Town, Independent) - Starts: 2026-11-11T17:10:00-08:00 · Ends: 2026-11-11T17:30:00-08:00 #### 5:30pm - 5:50pm · Simon Willison, Creator of Datasette, Independent - Room: Continental 4–6 (Mainstage) - Type: talk (Stage Talk) - Speakers: Simon Willison (Creator of Datasette, Independent) - Starts: 2026-11-11T17:30:00-08:00 · Ends: 2026-11-11T17:50:00-08:00 #### 5:50pm - 6:00pm · MC Outro - Room: Continental 4–6 (Mainstage) - Type: talk (Stage Talk) - Speakers: Corey Quinn (Chief Cloud Economist, The Duckbill Group) - Starts: 2026-11-11T17:50:00-08:00 · Ends: 2026-11-11T18:00:00-08:00 ### Thursday, November 12 #### 8:00am - 5:40pm · Token Billionaires Lounge - Room: Continental 7 (Token Billionaires Lounge) - Type: other - Starts: 2026-11-12T08:00:00-08:00 · Ends: 2026-11-12T17:40:00-08:00 #### 8:00am - 5:40pm · Registration - Room: Registration (outside Golden Gate) - Type: other - Starts: 2026-11-12T08:00:00-08:00 · Ends: 2026-11-12T17:40:00-08:00 #### 9:00am - 9:10am · MC Intro - Room: Continental 4–6 (Mainstage) - Type: talk (Stage Talk) - Speakers: Corey Quinn (Chief Cloud Economist, The Duckbill Group) - Starts: 2026-11-12T09:00:00-08:00 · Ends: 2026-11-12T09:10:00-08:00 #### 9:10am - 9:30am · Ambition in AI - Room: Continental 4–6 (Mainstage) - Type: talk (Stage Talk) - Speakers: Jason Liu (Developer Experience, OpenAI) - Starts: 2026-11-12T09:10:00-08:00 · Ends: 2026-11-12T09:30:00-08:00 #### 9:30am - 9:50am · Armin Ronacher, CTO, Earendil - Room: Continental 4–6 (Mainstage) - Type: talk (Stage Talk) - Speakers: Armin Ronacher (CTO, Earendil) - Starts: 2026-11-12T09:30:00-08:00 · Ends: 2026-11-12T09:50:00-08:00 #### 9:50am - 10:10am · Software Engineering Is Becoming Factory Engineering - Room: Continental 4–6 (Mainstage) - Type: talk (Stage Talk) - Speakers: Zach Lloyd (Founder & CEO, Warp) - Starts: 2026-11-12T09:50:00-08:00 · Ends: 2026-11-12T10:10:00-08:00 Warp founder and CEO Zach Lloyd explores the rise of software factories: systems that coordinate AI agents across the entire development lifecycle, from triage and specification to implementation, review, and monitoring. He’ll explain how engineering teams can build factories that improve with every run, where human judgment remains essential, and why the next frontier of software engineering may be less about writing code and more about engineering the systems that build it. #### 10:10am - 10:30am · Let's Open Source the World - Room: Continental 4–6 (Mainstage) - Type: talk (Stage Talk) - Speakers: Brandon Thomas (CEO, ArtCraft) - Starts: 2026-11-12T10:10:00-08:00 · Ends: 2026-11-12T10:30:00-08:00 From open-source alternatives to Adobe Photoshop and Microsoft Office to the SaaSpocalypse, it’s clear that software’s moats aren’t where they used to be. Take a look inside ArtCraft, a project aiming to become the Wikipedia of open source by recreating every category of software in modern, high-quality Rust. We’re building open-source applications and infrastructure to make every platform open - tearing down moats by turning platforms into protocols. We’ll tour fully agentic software factories and the engineering behind them - pushing the limits of Git and GitHub, tackling Rust build and CI bottlenecks, automating triage and testing, and building high-quality shared libraries and UI/UX components for the interfaces and user experiences of today and tomorrow, and beyond. #### 10:30am - 10:40am · MC Outro - Room: Continental 4–6 (Mainstage) - Type: talk (Stage Talk) - Speakers: Corey Quinn (Chief Cloud Economist, The Duckbill Group) - Starts: 2026-11-12T10:30:00-08:00 · Ends: 2026-11-12T10:40:00-08:00 #### 10:40am - 4:00pm · Expo Hall Hours - Room: Golden Gate (Expo Hall, Lunch & Reception) - Type: other - Starts: 2026-11-12T10:40:00-08:00 · Ends: 2026-11-12T16:00:00-08:00 #### 10:40am - 11:20am · Networking Break - Room: Golden Gate (Expo Hall, Lunch & Reception) - Type: other - Starts: 2026-11-12T10:40:00-08:00 · Ends: 2026-11-12T11:20:00-08:00 #### 11:20am - 11:40am · A New Age of Software Engineering - Room: Continental 4–6 (Mainstage) - Type: talk (Stage Talk) - Speakers: Walden Yan (Chief Product Officer, Cognition) - Starts: 2026-11-12T11:20:00-08:00 · Ends: 2026-11-12T11:40:00-08:00 #### 11:20am - 11:40am · Connect Agents to Reality: The Context Engine Powering Your Software Factory - Room: Continental 1–3 (Expo Sessions) - Type: breakout (Stage Talk) - Speakers: Brandon Waselnuk (DevRel, Unblocked) - Starts: 2026-11-12T11:20:00-08:00 · Ends: 2026-11-12T11:40:00-08:00 Our goal is to drive business outcomes and increase shareholder value. We do it through code. Increasingly agents are writing more, if not all, of our code and running more of the SDLC through software factories. Unfortunately they keep getting things wrong, are misaligned, or hallucinate facts leading to wasted human and agent cycles. It doesn't have to be this way. By connecting agents to the reality of your business through a context engine you can improve every step of your factory. This drastically increases the quality of agent outputs which compounds into driving the business outcomes and value we dream of. In this talk I'll show: how to accomplish this, why context != context, and 3 lessons we learned delivering a context engine at scale in case you want to build your own. Whether you believe one agent can run it all or a bespoke software factory is the right approach, you'll discover that ambient context is what your system is missing. #### 11:45am - 12:05pm · What Your AI Doesn't Know: The latest trends in agent searches - Room: Continental 4–6 (Mainstage) - Type: talk (Stage Talk) - Speakers: Jeffrey Pinner (CTO, Exa) - Starts: 2026-11-12T11:45:00-08:00 · Ends: 2026-11-12T12:05:00-08:00 An agent only searches when it doesn’t know something. In other words, every search is a confession, and Exa has been collecting them from thousands of agents for two years. Read together, those searches form a map of how AI agents like to work, and where their knowledge ends. There’s clear evidence of growing expertise. Coding agents used to search for examples and tutorials, now they go straight to the source, searching for code repos, issues and API references. Searches for mature frameworks like React, Next.js, and the rest of the “vibe code stack” are fading, not because they’re falling out of use, but because models already know them cold. Instead agents are searching for their own tools: MCPs, skills, agent instruction files and the latest models. But even as their knowledge and capability grows, agents still need to search. Models still take months to train, but the coding frontier now turns over every quarter, and AI is speeding that up. This knowledge cutoff won’t be fixed by the next big model release. In this keynote, Jeff Pinner, CTO of Exa, shares what we’ve learned from agents telling us what they don’t know, what it means for anyone who maintains a library, ships an agent or relies on one, and why search is an Agent’s best gateway to the present. #### 11:45am - 12:05pm · Talk But Verify: human-in-the-loop for agents that actually matter - Room: Continental 1–3 (Expo Sessions) - Type: breakout (Stage Talk) - Speakers: Michael Liendo (Staff Developer Advocate, Auth0) - Starts: 2026-11-12T11:45:00-08:00 · Ends: 2026-11-12T12:05:00-08:00 AI agents are getting good at taking action. The hard part isn't making them capable, it's knowing when to make them stop. In this talk we'll walk through the full spectrum of human-in-the-loop patterns, from lightweight inline confirmations to out-of-band permission gates to handing your agent a wallet with real money in it and more. Each pattern fits a different level of consequence, and knowing which to reach for is what separates demo agents from production ones. We'll cover the honest tradeoffs of latency, user experience, and trust so you can make the right call for your specific use case. The entire talk is built around various live demos that escalate in stakes with every step. You'll leave with a mental model and working reference architecture you can apply the same day. #### 12:10pm - 12:30pm · Ship more as a team of one with Kiro Crew - Room: Continental 4–6 (Mainstage) - Type: talk (Stage Talk) - Speakers: Doug Clauson (Principal Product Manager, Kiro, AWS) - Starts: 2026-11-12T12:10:00-08:00 · Ends: 2026-11-12T12:30:00-08:00 Coding has gotten cheaper, but shipping hasn't. See how one engineer built a build, review, and ship loop with Kiro Crew, and learn the traps that cost hours along the way (reviews that never end, agent loops that balloon a ten-line fix into a whole subsystem, saying yes to everything because code felt free). You'll leave with five concrete habits to try Monday morning with the tools you already use. #### 12:10pm - 12:30pm · Let the Agent Cook: From APIs to Answers - Room: Continental 1–3 (Expo Sessions) - Type: breakout (Stage Talk) - Speakers: Arsalan Bashir (Staff Software Engineer, Sentry) - Starts: 2026-11-12T12:10:00-08:00 · Ends: 2026-11-12T12:30:00-08:00 Abstract: Give an agent a pile of APIs. Can it figure out what to query, connect the dots, and check its own answers? I’ll share practical lessons on building agents that explore data across services—from discovering tools and navigating schemas to following leads and knowing when they have enough evidence. #### 12:35pm - 12:55pm · Exploring Claude’s frontier - Room: Continental 4–6 (Mainstage) - Type: talk (Stage Talk) - Speakers: Lance Martin (Member of Technical Staff, Anthropic) - Starts: 2026-11-12T12:35:00-08:00 · Ends: 2026-11-12T12:55:00-08:00 In this talk, we explore Claude’s frontier capabilities in memory and multi-agent coordination. #### 12:35pm - 12:55pm · Code review without reviewing code - Room: Continental 1–3 (Expo Sessions) - Type: breakout (Stage Talk) - Speakers: Daniel Tao (Lead Principal Engineer, Dev Infra, Atlassian) - Starts: 2026-11-12T12:35:00-08:00 · Ends: 2026-11-12T12:55:00-08:00 While authoring code has become virtually instantaneous, reviewing and verifying that code in an enterprise environment remains constrained by human cognitive capacity. At scale, this becomes a painful bottleneck: pull request volume and size are growing rapidly, review latency is increasing, and 10,000-line diffs can all too easily burn through finite reserves of human attention. How do engineering organizations scale trust and quality at the speed of AI generation? I won’t pretend we’ve fully slain this dragon, but in this session I’ll walk through a few different approaches we’re taking and what we’ve learned within Atlassian: Inner Loop: Building confidence through automated local AI review and skills for catching anti-patterns and contract violations before code ever reaches a human teammate. Outer Loop: How tools like Taro spin up live environments, simulate user interactions, and provide tangible evidence (narrated videos) directly to reviewers. A New Lens on Code: Aggregating quality signals like CI, agentic evaluations, and risk scoring to allow reviewers to “zoom out” and reason about the value and implications of a change without having to read the diff line-by-line. Rethinking the Unit of Change: Why the traditional single-ticket micro-PR is an artifact of human typing limits, and how we can shift human expertise to where it matters most. Attendees will leave with concrete architectural patterns, lessons learned from real-world rollouts, and a blueprint for evolving their team’s code review practices for the AI era. #### 12:55pm - 2:05pm · Lunch - Room: Golden Gate (Expo Hall, Lunch & Reception) - Type: other - Starts: 2026-11-12T12:55:00-08:00 · Ends: 2026-11-12T14:05:00-08:00 #### 2:05pm - 2:50pm · Jarred Sumner, Founder of Bun, Anthropic / Bun - Room: Continental 4–6 (Mainstage) - Type: talk (Stage Talk) - Speakers: Jarred Sumner (Member of Technical Staff (Manager), Anthropic) - Starts: 2026-11-12T14:05:00-08:00 · Ends: 2026-11-12T14:50:00-08:00 #### 2:05pm - 2:25pm · Scaling Your Agent Workforce: Lessons from Inside Cognition - Room: Continental 1–3 (Expo Sessions) - Type: breakout (Stage Talk) - Speakers: Theodor Marcu (Head of Product Growth, Cognition) - Starts: 2026-11-12T14:05:00-08:00 · Ends: 2026-11-12T14:25:00-08:00 Most companies have turned coding agents on. Few can say what those agents do or what they return. At Cognition, Devin wrote 92% of merged PRs in September, and 9 out of 10 Devin sessions start without a human. Theodor Marcu shows how we got there: cloud agents working in parallel, automations that run every night, and how engineering and research use Devin to autonomously drive feature development. He then turns that into a playbook for your teams: govern what agents can reach, route work across models to cut cost, and follow every session to a merged PR so ROI is measured instead of guessed. #### 2:30pm - 2:50pm · The first Grounded Decision Model - Room: Continental 1–3 (Expo Sessions) - Type: breakout (Stage Talk) - Speakers: Devin Gupta (Member of Technical Staff, Parallel) - Starts: 2026-11-12T14:30:00-08:00 · Ends: 2026-11-12T14:50:00-08:00 Decision models only read. They never generate a token, which is why they cost roughly 240x less per token read than a frontier LLM — and why they are only as good as the state you hand them. For most judgments worth making, that state lives on the live web, not in your database. This talk re-costs the stack with measured numbers. On PWS-Decisions, our open 300-question benchmark, the question is 104 tokens and the evidence needed to answer it is 4,777. Two years ago the model was 86% of the bill for a grounded answer; today it is 17%. Intelligence stopped being the bottleneck. Context became it. We will cover what that inversion changes architecturally, a live demo that grounds 18 typed questions against 4,270 businesses in a single call, and the entity-resolution failure that quietly breaks grounded decisions in production. You will leave able to run the benchmark against your own model. #### 2:55pm - 3:15pm · Judgement is the Last Job - Room: Continental 4–6 (Mainstage) - Type: talk (Stage Talk) - Speakers: Ishaan Dey (Engineer & Designer, Antigravity, Google DeepMind) - Starts: 2026-11-12T14:55:00-08:00 · Ends: 2026-11-12T15:15:00-08:00 If agents can build anything, what's left? Building Antigravity, we work at the frontier of AI, ship products at the scale of Google, and iterate quickly to harness new model capabilities. This talk dives into that feedback loop, and what that taught us about building with agents while keeping human judgement at the center. #### 2:55pm - 3:15pm · Your agent pays twice for every search: how we cut token spend by 90+% with better accuracy - Room: Continental 1–3 (Expo Sessions) - Type: breakout (Stage Talk) - Speakers: Louis Walsh (Forward Deployed Engineer, Exa) - Starts: 2026-11-12T14:55:00-08:00 · Ends: 2026-11-12T15:15:00-08:00 Every agent that searches the web pays twice: once for the search call, and again for the tokens that search puts into the model's context. The answer is usually a few sentences. The agent pays for the whole page, and in a multi-step loop it pays for it again on every turn. We'll show real production traces of where the tokens go and why retrieval, not generation, is the biggest line on most agent bills. Then we'll show what we changed: return the passages a query needs instead of whole pages, tune extraction to the question, and cap how much context the agent can take. We tested this across 12 frontier models and 11,000 blind-graded answers. Token spend fell by more than 90% while accuracy went up. You get a metric (cost per correct answer, not cost per request), an open calculator to run the numbers on your own traffic, and a five-point checklist for finding token waste in your pipeline. #### 3:20pm - 3:40pm · Brownfield Factories - Room: Continental 4–6 (Mainstage) - Type: talk (Stage Talk) - Speakers: Justin McCarthy (CEO, Diffusion) - Starts: 2026-11-12T15:20:00-08:00 · Ends: 2026-11-12T15:40:00-08:00 Brownfield applications are clearly ideal for Software Factories! Brownfield applications provide all the specification and telemetry you need to build validation harnesses and loops. Make a lump sum payment on your technical debt, reduce costs, increase performance, and purge vulnerabilities once and for all. Rewrite that boat anchor to Rust, Elixir or BF today! #### 3:20pm - 3:40pm · Agents That Don't Clock Out - Room: Continental 1–3 (Expo Sessions) - Type: breakout (Stage Talk) - Speakers: Erik Hanchett (Senior Developer Advocate, Kiro, AWS) - Starts: 2026-11-12T15:20:00-08:00 · Ends: 2026-11-12T15:40:00-08:00 My coding agents are fast, but speed isn't the whole story. The real question is where they run: the CLI, the IDE, or something else entirely? In this session, I'll break down which tool fits which job and why that choice makes or breaks your workflow. I'll show you how I organize skills and custom agents so they're reusable instead of one-off, then close with a demo of a persistent agent setup in Kiro Crew — one that keeps grinding away long after I've logged off. Walk away knowing how to match the right agent to the right environment and build setups that work while you sleep. #### 3:45pm - 4:05pm · Afternoon Break / Keynote Reset - Room: Golden Gate (Expo Hall, Lunch & Reception) - Type: other - Starts: 2026-11-12T15:45:00-08:00 · Ends: 2026-11-12T16:05:00-08:00 #### 4:20pm - 4:30pm · MC Intro - Room: Continental 4–6 (Mainstage) - Type: talk (Stage Talk) - Speakers: Corey Quinn (Chief Cloud Economist, The Duckbill Group) - Starts: 2026-11-12T16:20:00-08:00 · Ends: 2026-11-12T16:30:00-08:00 #### 4:30pm - 4:50pm · Post-Training Gemini 4 for Real Engineering Work - Room: Continental 4–6 (Mainstage) - Type: talk (Stage Talk) - Speakers: Melvin Johnson (Vice President, Gemini Post-Training Lead, Google DeepMind) - Starts: 2026-11-12T16:30:00-08:00 · Ends: 2026-11-12T16:50:00-08:00 Real software engineering tasks are not asking a model to write a function, but long tasks (o(hours) reading unfamiliar code, running tools, recovering from wrong turns, and knowing when the job is actually done. In this keynote, Melvin Johnson (VP, Google DeepMind) covers how we post-trained for long-horizon agentic coding: - Hard tasks. Popular benchmarks saturate, so we built internal realistic, multi-step software tasks. - Graders that can't be gamed. When agents learn to satisfy unit tests without solving the problem, you need graders that check the work the way a reviewer would. - Model behavior. An agent that says "fixed it" when it didn't is worse than no agent. We reward models for reporting accurately what they did and didn't do. - Efficiency over long horizons. Finishing more of the task with fewer tokens and stable behavior across very long contexts. - Shipping weekly. Modular improvements and dogfooding with Google engineers let us release in weeks instead of quarters. #### 4:50pm - 5:10pm · Quinn Slack, CEO, Amp - Room: Continental 4–6 (Mainstage) - Type: talk (Stage Talk) - Speakers: Quinn Slack (CEO, Amp) - Starts: 2026-11-12T16:50:00-08:00 · Ends: 2026-11-12T17:10:00-08:00 #### 5:10pm - 5:30pm · 12-Factor-Factories: Design Patterns for Agentic Coding - Room: Continental 4–6 (Mainstage) - Type: talk (Stage Talk) - Speakers: Dexter Horthy (Member of Technical Staff, Factory) - Starts: 2026-11-12T17:10:00-08:00 · Ends: 2026-11-12T17:30:00-08:00 Every AI lab is building full stack cloud agents. Every enterprise is building their own software factory. We've worked with a lot of teams adopting all flavors in every combination. In this talk we'll distill out the core principles and design patterns we've seen across factories, and make a case for why the AI-native forge will be composable and built on open primitives. #### 5:30pm - 5:50pm · Thariq Shihipar, Independent - Room: Continental 4–6 (Mainstage) - Type: talk (Stage Talk) - Speakers: Thariq Shihipar (Independent) - Starts: 2026-11-12T17:30:00-08:00 · Ends: 2026-11-12T17:50:00-08:00 #### 5:50pm - 6:00pm · MC Outro - Room: Continental 4–6 (Mainstage) - Type: talk (Stage Talk) - Speakers: Corey Quinn (Chief Cloud Economist, The Duckbill Group) - Starts: 2026-11-12T17:50:00-08:00 · Ends: 2026-11-12T18:00:00-08:00 ## Speakers ### Aamir Shakir (CEO, Mixedbread) Aamir Shakir is the Founder and CEO of Mixedbread, where he builds retrieval systems for complex, unstructured data. His work spans multimodal search, reranking, and specialized search agents. - Sessions: How to build agents over your own data (Nov 11, 12:10pm - 12:30pm, Continental 1–3 (Expo Sessions)) ### Ahmad Osman (Founder & CEO, Osmantic) Ahmad M. Osman wants your AI running on hardware you own, and he builds the stack that gets it there. As founder and CEO of Osmantic, he moves companies' AI onto their own infrastructure and sends only what has to go to the cloud, with the data masked first. Osmantic's open-source ODS (7.8k+ GitHub stars) installs the full stack for local AI on your machine with a single command, and ODS Enterprise runs it for organizations. Ahmad moderates r/LocalLLaMA, organized the Local AI Summit at AI Engineer World's Fair 2026, and is writing a book on local AI infrastructure. His educational articles have drawn millions of views. You can find him online @TheAhmadOsman. - Sessions: What Runs Where: The State of Local AI (Nov 10, 11:40am - 12:40pm, Continental 6 (Workshop Room 3)) ### Alex Lebedev (AI Product Engineer, PostHog) Hey, I'm Alex. I've been building AI products since early GPT-3, most of my code is open source (250+ PRs), and I actively work on putting myself out of a job by improving code generation and code reviews. Today I'm an AI Product Engineer at PostHog, building distributed multi-agent systems from zero. Before that: video analysis for my own startup, Hotjar's first AI features, and working on the scrapy crawling library. Before engineering: 7+ years in marketing and project management. I talk at events a lot, usually with live demos that can fail miserably (but thankfully don't). - Links: https://posthog.com/ · https://www.linkedin.com/in/nightowlcoder/ · https://x.com/nightowl_coder - Sessions: Our Agents Shipped 6,000 PRs to 600+ Companies in The First Month. Now They Build Features (Nov 10, 4:30pm - 5:30pm, Continental 4 (Workshop Room 2)) ### Andrew Finch (Staff Software Engineer, Sonar) Andrew Finch is a Staff Software Engineer at Sonar working on Gitar, Sonar's AI Code Review product. From 2014 to 2018, he worked at Uber on the on-trip and navigation experience for drivers in the mobile app, as well as on driver growth and onboarding. From 2018 to 2024, he worked at Forward, an AI-enabled primary health care provider, where he worked on medical records and care delivery software systems. He also worked on hardware-software integration efforts and led development of the operating system for the CarePod, a self-contained, AI-powered doctor’s office in a kiosk. - Sessions: Building a Safe Software Factory (Nov 11, 12:10pm - 12:30pm, Continental 4–6 (Mainstage)) ### Ankit Jain (Co-founder & CEO, Aviator) Ankit Jain is a founder and CEO of Aviator, a developer productivity platform used by modern engineering teams to ship AI-generated code at scale — without the review bottlenecks, broken builds, or brittle deployments. He also leads The Hangar, a community of senior engineers and engineering leaders focused on developer experience, and Xoogler, the ex-Google alumni network. - Links: https://aviator.co · https://www.linkedin.com/in/ankitjaindce/ · https://twitter.com/ankitxg - Sessions: One team's path to trusting AI generated code (Nov 10, 9:30am - 9:55am, Continental 1–3 (Workshop Room 1)) ### Ankit Mathur (Member of Technical Staff, Databricks) Ankit Mathur is the engineering lead for AI Infrastructure at Databricks. During his time, he's helping build scalable systems for LLM serving, smart routing, agent deployment, and more. - Sessions: The Rise of the Agent Workforce: Rethinking Agent Infrastructure (Nov 11, 11:45am - 12:05pm, Continental 4–6 (Mainstage)) ### Armin Ronacher (CTO, Earendil) Armin Ronacher created Flask and Jinja, foundational tools for building websites in Python, and co-founded Earendil, a public-benefit company developing open, human-directed AI software. After a decade at Sentry, he has become a distinctive voice on coding agents: generating software faster helps only when engineers retain enough understanding to remain responsible for it. - Sessions: Armin Ronacher, CTO, Earendil (Nov 12, 9:30am - 9:50am, Continental 4–6 (Mainstage)) ### Arsalan Bashir (Staff Software Engineer, Sentry) Arsalan Bashir is a Staff Software Engineer, AI at Sentry, building tools that help developers and their AI agents find and fix broken code faster. - Sessions: Let the Agent Cook: From APIs to Answers (Nov 12, 12:10pm - 12:30pm, Continental 1–3 (Expo Sessions)) ### Arundeep Nagaraj (Head of Customer Success, Kiro, AWS) Arundeep is a technologist and engineering leader with 15+ years of progressive responsibility across customer success, solutions architecture, and developer experience at AWS and Cisco. He leads customer success and solutions architecture for Kiro, an agentic engineering solution spanning IDE, CLI, Web, Crew, and Mobile. He has built in-product experiences that drive adoption and owns kiro.dev from content strategy to infrastructure. Outside of work and hiking trails in North Carolina, he enjoys playing sports (Basketball, Tennis and Chess). - Sessions: Build your first Kiro Crew app: An agent that triages your backlog while you sleep (Nov 10, 4:30pm - 5:30pm, Continental 7–9 (Workshop Room 4)) ### Bradford Chang (Sr. Solutions Architect, Databricks) Bradford Chang is a Senior Solutions Architect at Databricks, helping media and entertainment companies transform their business with data and AI. Previously, he worked in games at AWS and healthcare at Orion Health. He studied Computer Science at the University of Southern California and loves deploying AI agents to solve real problems. - Sessions: Build a Multi-Agent PR Review and Repair Workflow with Omnigent (Nov 10, 10:10am - 11:10am, Continental 6 (Workshop Room 3)) ### Brandon Thomas (CEO, ArtCraft) Brandon Thomas has over 15 years of software engineering experience, including eight building core online payments infrastructure at Square/Block. Before founding ArtCraft, he built FakeYou.com, a generative media site that reached 7 million monthly active users, including David Guetta and PewDiePie, and the popular video game wiki StrategyWiki.org. A Rust developer since before 1.0, he advocates for its use in AI software development. His creative work spans filmmaking, actor mocap retargeting, infinite agentic improv, and skyscraper-scale video games using laser projection. - Sessions: Let's Open Source the World (Nov 12, 10:10am - 10:30am, Continental 4–6 (Mainstage)) ### Brandon Waselnuk (DevRel, Unblocked) Brandon Waselnuk is Developer Relations at Unblocked, the context layer for agentic software development. He previously led product at Mintlify and co-founded Squire AI, an AI code review platform. A Y Combinator alum (S21) and Venture Partner at Pioneer Fund, Brandon also led product initiatives at IBM, helping create Design Thinking @ IBM and managing portfolio planning for IBM's $1B+ Business Analytics division. He's passionate about building tools that make engineering teams more productive. - Sessions: Connect Agents to Reality: The Context Engine Powering Your Software Factory (Nov 12, 11:20am - 11:40am, Continental 1–3 (Expo Sessions)) ### Brian Kennedy (Principal AI Software Engineer, ZoomInfo) Brian Kennedy is a Principal Engineer at ZoomInfo, leading engineering for the Agentic AI Platform that powers Agent Teams and over a hundred production agents. He has spent the last year on the runtime underneath them: the orchestrator, the gates that decide whether a step counts, and the evals that keep the whole thing honest. Before that he spent a decade at early-stage startups, most recently building generative AI platforms and products. - Sessions: Your Judge Is Hallucinating Too (Nov 11, 3:06pm - 3:19pm, Continental 4–6 (Mainstage)) ### Cassandra Chin (Book Author, Keynote Speaker, and Kids Workshop Instructor, Independent) Cassandra Chin is a keynote speaker at Devnexus, JFokus, Devoxx Belgium, Devoxx Morocco, and GIDS, and author of Apress’s Raising Young Coders. She has taught technology workshops for kids at international conferences since age 13 and advocates for women, minorities, and underserved students in tech. She is Content Chair of CNCF Kids Day, helps run AI Engineer Kids Day, and has been featured at KubeCon + CloudNativeCon, theCUBE, and Techstrong TV. - Links: https://linkedin.com/in/cassandra-chin-developer · https://twitter.com/@cassandraonjava - Sessions: Warning: This Pull Request Contains Graphic Content (Nov 10, 5:00pm - 5:25pm, Continental 1–3 (Workshop Room 1)) ### Charlie Guo (Developer Experience Engineer, OpenAI) Charlie Guo is a Developer Experience Engineer at OpenAI, where he helps developers build with the OpenAI API. He is also the author of Artificial Ignorance, an AI publication at the intersection of engineering and intelligence. Before joining OpenAI, Charlie spent more than a decade building products and internal tools, including as a startup founder. He is based in Berkeley, California. - Links: https://www.ignorance.ai/ · https://www.linkedin.com/in/charlierguo · https://x.com/charlierguo - Sessions: New Ways of Working with Codex (Nov 10, 9:00am - 10:00am, Continental 6 (Workshop Room 3)) ### Chibi Vikram (Engineer, UiPath) Chibi Chakaravarthi is an engineer at UiPath building the infrastructure behind its AI agents, from evaluation pipelines to the serverless systems that run them at scale. Chibi’s work focuses on making agentic systems measurable and reliable enough to ship to enterprise customers. Lately, that has meant bringing Jev into flows, extraction, reranking, and internal tools across the product. Chibi enjoys turning research ideas into production systems that real teams depend on. - Links: https://www.uipath.com/ - Sessions: Your Automation Is Overthinking It (Nov 11, 2:48pm - 3:01pm, Continental 4–6 (Mainstage)) ### Chinmay Goyal (Software Engineer, Glean) Chinmay Goyal is a software engineer at Glean, where he works on AI agents and Glean Assistant. His work focuses on building agent experiences and the backend systems that support them. - Links: https://www.glean.com/ - Sessions: Beyond Generation: Fast, Structured AI Decisions with Jev at Glean (Nov 11, 2:30pm - 2:43pm, Continental 4–6 (Mainstage)) ### CJ Avilla (Member of Technical Staff, Anthropic) CJ Avilla works on platform and developer experience at Anthropic, helping developers build with Claude. His work spans documentation, quickstarts, cookbooks, and SDK examples: the materials developers use to turn an API into a working application. - Sessions: Machine trust (Nov 10, 9:00am - 10:00am, Continental 4 (Workshop Room 2)) ### Corey Quinn (Chief Cloud Economist, The Duckbill Group) Corey Quinn is the Chief Cloud Economist at Duckbill. His unique brand of snark combines with a deep understanding of AWS's offerings, unlocking a level of insight that's both penetrating and hilarious. He lives in San Francisco with his spouse and daughters. - Links: https://www.linkedin.com/in/coquinn/ - Sessions: MC Intro (Nov 11, 9:00am - 9:10am, Continental 4–6 (Mainstage)); MC Outro (Nov 11, 10:30am - 10:40am, Continental 4–6 (Mainstage)); MC Intro (Nov 11, 4:20pm - 4:30pm, Continental 4–6 (Mainstage)); MC Outro (Nov 11, 5:50pm - 6:00pm, Continental 4–6 (Mainstage)); MC Intro (Nov 12, 9:00am - 9:10am, Continental 4–6 (Mainstage)); MC Outro (Nov 12, 10:30am - 10:40am, Continental 4–6 (Mainstage)); MC Intro (Nov 12, 4:20pm - 4:30pm, Continental 4–6 (Mainstage)); MC Outro (Nov 12, 5:50pm - 6:00pm, Continental 4–6 (Mainstage)) ### Dan Kiuna (Specialist Solutions Architect, Kiro, AWS) Dan is a Specialist Solutions Architect at AWS where he works on Kiro, an AI coding tool with an IDE, CLI, Web, and a workspace called Crew. His focus is on integrations through agent plugins, MCP, and Crew apps. Before Kiro, he worked on AWS AppSync and AWS Amplify. In his free time, he enjoys playing guitar, piano, pool, and spending time with his family. - Sessions: Build your first Kiro Crew app: An agent that triages your backlog while you sleep (Nov 10, 4:30pm - 5:30pm, Continental 7–9 (Workshop Room 4)) ### Daniel Tao (Lead Principal Engineer, Dev Infra, Atlassian) Daniel Tao is Lead Principal Engineer for Dev Infra at Atlassian, responsible for technical leadership and development of solutions that power all of Atlassian’s engineering efforts. Dan previously served as Head of Engineering for multiple Atlassian products, including Confluence, Bitbucket, Compass, and DevOps Products. Dan's professional experience prior to Atlassian includes engineering roles at Google, ThoughtWorks, and multiple startups across a diverse set of industries including finance, law, entertainment, education, and retail. - Links: https://philosopherdeveloper.com/ · https://www.linkedin.com/in/dantao/ - Sessions: Code review without reviewing code (Nov 12, 12:35pm - 12:55pm, Continental 1–3 (Expo Sessions)) ### Devin Gupta (Member of Technical Staff, Parallel) Devin Gupta is a core engineer at Parallel Web Systems, focusing on building out the next generation of web infrastructure for LLMs. In particular, he works on post-training search models and leading the Parallel Decisions API. Before this, he worked in long/short investing at Balyasny and got his physics degree at Stanford. - Links: https://devin-gupta.github.io/ · https://www.linkedin.com/in/devin-gupta/ · https://x.com/devingupta_ - Sessions: The first Grounded Decision Model (Nov 12, 2:30pm - 2:50pm, Continental 1–3 (Expo Sessions)) ### Dexter Horthy (Member of Technical Staff, Factory) Dex is a Member of Technical Staff at Factory. Previously, he co-founded HumanLayer, building an agentic IDE and collaboration platform that helps teams solve hard problems in complex codebases without devolving into slop. Dex coined the term context engineering in April 2025, has keynoted AI Engineer conferences and his practical, no-hype talks on agentic coding have over 1 million views on YouTube. Dex built lunar exploration tooling for NASA researchers in high school, and spent 10+ years in the Kubernetes/Infra space before getting into AI. - Links: https://theouterloop.substack.com · https://www.linkedin.com/in/dexterihorthy · https://twitter.com/dexhorthy - Sessions: 12-Factor-Factories: Design Patterns for Agentic Coding (Nov 12, 5:10pm - 5:30pm, Continental 4–6 (Mainstage)) ### Diogo Almeida (Co-founder & CEO, TypeSafe AI) Diogo Almeida is co-founder and chief executive of TypeSafe AI, where he is building Jev, an AI model that returns typed decisions and probabilities directly to software. At OpenAI, he coauthored InstructGPT, helping develop the human-feedback training behind conversational AI. His subsequent work tackles a limitation he sees in that approach: a model can produce responses people prefer without being ready to make unattended operational decisions. - Sessions: I love you so jevving much (Nov 11, 2:05pm - 2:23pm, Continental 4–6 (Mainstage)) ### Dominik Kundel (Developer Experience, OpenAI) Dominik Kundel works on developer experience and SDKs at OpenAI, building the infrastructure that turns powerful models into usable, controllable software agents. He co-designed and implemented the OpenAI Agents SDK for TypeScript with Kazuhiro Sera and has contributed to Codex, gpt-oss and a Rust library for rendering the Harmony format. - Sessions: New Ways of Working with Codex (Nov 10, 9:00am - 10:00am, Continental 6 (Workshop Room 3)) ### Doug Clauson (Principal Product Manager, Kiro, AWS) Doug Clauson is a Principal Product Manager for Kiro, where he leads Kiro CLI and many core agent capabilities. He has been with AWS for the last 5 years, managing developer tools, and is an active builder. Prior to AWS he was in aerospace building flight simulation software and aircraft technology. Ask him about the time he built real life X wings for Walt Disney World! - Sessions: Ship more as a team of one with Kiro Crew (Nov 12, 12:10pm - 12:30pm, Continental 4–6 (Mainstage)) ### Elise Gonzales (Staff Product Manager, Databricks) Elise Gonzales is the Product Manager for Omnigent at Databricks. Previously, she's worked for Microsoft on HoloLens, Amazon Alexa, and several start-ups in the data space. She went to Carnegie Mellon for Computer Science and enjoys working on complex, data-intensive products. - Sessions: Build a Multi-Agent PR Review and Repair Workflow with Omnigent (Nov 10, 10:10am - 11:10am, Continental 6 (Workshop Room 3)) ### Erik Hanchett (Senior Developer Advocate, Kiro, AWS) Erik Hanchett is a Senior Developer Advocate at AWS and creator of Program With Erik, a software development YouTube channel with more than 100,000 subscribers. He has taught developers for over a decade, written two books on web development, and spoken around the world. His recent work focuses on AI agents. - Links: https://facebook.com/computation · https://www.linkedin.com/in/erikhanchett/ · https://twitter.com/ErikCH - Sessions: Agents That Don't Clock Out (Nov 12, 3:20pm - 3:40pm, Continental 1–3 (Expo Sessions)) ### Erik Thorelli (Head of Developer Experience, CodeRabbit) Erik Thorelli is Head of Developer Experience at CodeRabbit, where he works on agent-first products and developer tools. He speaks about Agent Experience (AX), evaluating software with and for LLM agents, patterns and practices of the high-autonomy agentic SDLC, and AI code review. He co-organizes All Things Web, a San Francisco developer community, and previously led mobile and Applied AI teams at Cisco Meraki. - Links: https://www.coderabbit.ai · https://x.com/esthor - Sessions: Manage Yourself Out of the Loop (Nov 11, 10:55am - 11:15am, Continental 1–3 (Expo Sessions)) ### Fabian Hedin (CTO, Lovable) Fabian Hedin is an accomplished entrepreneur and technology leader with a diverse background in founding and leading innovative companies. As Co-Founder of Lovable, Founder and CEO of Tentium, and Founder and CTO of TenFAST, Fabian has demonstrated a strong ability to drive business growth and technological advancement. Experience as Frontend Lead at Depict and Fullstack Engineer at CurbFood further showcases Fabian's comprehensive skill set in software development and team leadership within the tech industry. - Sessions: What it takes to set intelligence free (Nov 11, 4:30pm - 4:50pm, Continental 4–6 (Mainstage)) ### Francisco Javier Arceo (Forward Deployed Engineer, Baseten) Francisco Javier Arceo is a Forward Deployed Engineer at Baseten and a contributor to vLLM Agentic API, connecting coding harnesses and agentic applications to open models across inference engines and serving stacks. He previously worked at Red Hat, Goldman Sachs, and Affirm, and has more than a decade of experience across AI, software engineering, and fintech. - Links: https://franciscojavierarceo.dev/ · https://www.linkedin.com/in/franciscojavierarceo/ · https://x.com/franciscojarceo - Sessions: Keep the Harness, Own Your Inference (Nov 10, 1:50pm - 2:50pm, Continental 7–9 (Workshop Room 4)) ### Frank Coyle (Lecturer, UC Berkeley) Frank Coyle is a computer science educator with over thirty years of teaching experience, most recently as faculty at SMU and currently teaching Generative AI and Large Language Models at UC Berkeley and the University of Bologna. Frank is the founder of The AI Edge (codesupreme.ai), where he is launching Build to Certify, an eight-week cohort program preparing CS and engineering students for the Claude Certified Architect Foundations exam. His current focus is the practical craft of agentic AI engineering — tool design and MCP integration, context management, prompt engineering, and Claude Code workflows — taught through a hands-on "MAKE before explain" pedagogy. He is equally at home explaining tool-use loops to engineers and translating frontier AI concepts for audiences ranging from district attorneys to formerly-incarcerated students learning to code. - Links: https://frank-coyle.ai · https://www.linkedin.com/in/frank-coyle/ · https://x.com/coyle_frankp - Sessions: From Shared Language to Enforceable Contracts: Ontologies as Guardrails for Agents. (Nov 10, 9:00am - 9:25am, Continental 1–3 (Workshop Room 1)) ### George Fraser (CEO, Fivetran) George Fraser is the CEO and co-founder of Fivetran, the global leader in the modern data movement. George founded Fivetran with Taylor Brown, the company’s Chief Operating Officer, in 2012 after completing the prestigious Y Combinator accelerator program. Under his leadership, Fivetran has grown from a startup into a global enterprise valued at $5.6 billion, serving thousands of companies worldwide to automate data workflows and drive innovation. He holds a PhD in Neurobiology from the University of Pittsburgh and a Bachelor of Science in Cognitive Science and Biology from Carnegie Mellon University. - Links: https://www.fivetran.com/ · https://www.linkedin.com/in/george-fraser-a0219230/?isSelfProfile=false · https://x.com/frasergeorgew?lang=en - Sessions: The new job of the data team is providing context to AI (Nov 10, 2:20pm - 2:45pm, Continental 1–3 (Workshop Room 1)) ### Giovanni D'Antonio (Research, Cognition) Giovanni is part of the Research Team at Cognition where he focuses on usability and coding RL. He most recently was working at Thinking Machines, and previously was part of frontier evals team at Google Deepmind. - Links: https://www.linkedin.com/in/giovanni-dantonio/ - Sessions: Do it All with Devin (Nov 10, 4:30pm - 5:30pm, Continental 6 (Workshop Room 3)) ### Ishaan Dey (Engineer & Designer, Antigravity, Google DeepMind) Ishaan Dey works on Antigravity at Google DeepMind. He’s building the agent interface for developers and knowledge workers to use AI in new, powerful ways. Previously, Ishaan worked on developer tools and personal agents at companies like Vercel and Interaction. - Links: https://x.com/ishaandey_ - Sessions: Judgement is the Last Job (Nov 12, 2:55pm - 3:15pm, Continental 4–6 (Mainstage)) ### Ivan Leo (Member of Technical Staff, Google DeepMind) Ivan works on Developer Experience at Google DeepMind, where he focuses on making it easy to build on Gemini. Previously, he built general-purpose action engines for knowledge work at Manus (acquired by Meta) and worked on open-source libraries like Instructor which made it easy to get reliable structured outputs for language models using Pydantic. - Links: https://x.com/ivanleomk - Sessions: AFK Engineering: From Terminal to Voice-Controlled Remote Agents (Part 1) (Nov 10, 1:50pm - 2:50pm, Continental 4 (Workshop Room 2)); AFK Engineering: From Terminal to Voice-Controlled Remote Agents (Part 2) (Nov 10, 3:00pm - 4:00pm, Continental 4 (Workshop Room 2)); Coding Agents and How to Tame Them (Nov 11, 2:05pm - 2:25pm, Continental 1–3 (Expo Sessions)) ### Jacob Prall (Lead DX Engineer, Render) Jacob Prall is a product and engineering leader with experience building developer tools across data infrastructure, cloud platforms, and AI. He is a Lead Developer Experience Engineer at Render and previously led product at SQLite.ai and developer education at Timescale. At Snowflake, he created the open-source AI-ready Data Framework. An educator at heart, he focuses on making complex technical ideas practical and accessible.⁠ - Sessions: Refactor or Rot: Building a self-improving codebase (Nov 11, 11:20am - 11:40am, Continental 1–3 (Expo Sessions)) ### Jakub Hojsan (Forward Deployed Engineer, Exa) Jakub Hojsan works on deploying web search in AI agents and production applications. He joined Exa as its first forward deployed engineer in 2025, helping customers integrate search through pre-sales, implementation, and ongoing support. His technical focus addresses a practical weakness in coding assistants: a model can understand a codebase yet lack the newer documentation, library behavior, or breaking changes needed to make a sound decision. - Sessions: Build a personal agent with Exa Search (Nov 10, 3:00pm - 4:00pm, Continental 7–9 (Workshop Room 4)) ### James Arthur (Staff, Databricks) Building Neon at Databricks. Previously CEO & Co-Founder of Electric. Prior to Electric, James co-founded the Post Urban venture builder and was co-founder and CTO of synthetic data company Hazy, digital manufacturing company Opendesk and developed software for companies including Apple and IDEO. - Sessions: Ground Truth or Dare: Using Oracles to Make Postgres Reactive (Nov 11, 2:55pm - 3:15pm, Continental 1–3 (Expo Sessions)) ### Jarred Sumner (Member of Technical Staff (Manager), Anthropic) Jarred Sumner created Bun, the open-source JavaScript and TypeScript toolkit that combines a runtime, bundler, package manager, and test runner. What began as an attempt to shorten a 45-second development cycle became infrastructure for distributing coding agents. Jarred and the Bun team joined Anthropic in December 2025; his subsequent work includes directing an AI-assisted Rust rewrite designed to address recurring memory-management defects while preserving Bun’s behavior. - Sessions: Jarred Sumner, Founder of Bun, Anthropic / Bun (Nov 12, 2:05pm - 2:50pm, Continental 4–6 (Mainstage)) ### Jason Liu (Developer Experience, OpenAI) Jason Liu is the creator of Instructor, the open-source library that turns language-model responses into typed, validated objects, and a developer experience engineer on OpenAI’s Codex team. Instructor lets developers specify the data they need with familiar Python models, check business requirements in code, and return informative errors to the model when a response fails validation. - Sessions: Ambition in AI (Nov 12, 9:10am - 9:30am, Continental 4–6 (Mainstage)) ### Jeffrey Pinner (CTO, Exa) Jeff Pinner is chief technology officer of Exa, where he works on search infrastructure for AI agents. His career spans contributions to HTTP/2, marketplace engineering at Lyft, and technology leadership at Robinhood. At Exa, he has highlighted historical web search as a way to backtest models and make evaluations reproducible. - Sessions: What Your AI Doesn't Know: The latest trends in agent searches (Nov 12, 11:45am - 12:05pm, Continental 4–6 (Mainstage)) ### Justin McCarthy (CEO, Diffusion) Justin McCarthy is the founder and CEO of Diffusion. Previously, he co-founded StrongDM and served as CTO, where he built its Software Factory and spent a decade delivering cybersecurity infrastructure for demanding enterprises. He is now defining the frontier of agentic AI through the construction of Software and Demand Factories built for high-consequence settings. - Sessions: Brownfield Factories (Nov 12, 3:20pm - 3:40pm, Continental 4–6 (Mainstage)) ### Justin Poehnelt (CTO, Helen's Foundry) Justin Poehnelt is the founder and CTO of Helen’s Foundry, a startup building tools that help AI agents understand the strategy and intent behind software development. Before that, he spent nearly seven years as a software engineer at Google, where he created the open-source Google Workspace CLI. It went viral and, unexpectedly, got him fired. - Links: https://justin.poehnelt.com · https://www.linkedin.com/in/justin-poehnelt/ · https://x.com/JPoehnelt - Sessions: One Rule, One Throwaway Skill: Agent Migrations with ast-grep (Nov 10, 10:40am - 11:05am, Continental 1–3 (Workshop Room 1)) ### Karan Vaidya (Co-founder/CTO, Composio) Founder of Composio, building the infra for knowledge work agents - Links: https://kvaidya.com/ · https://www.linkedin.com/in/kaavee315/ · https://x.com/KaranVaidya6 - Sessions: What It Takes to Run a Company on Agent Swarms (Nov 10, 1:50pm - 2:15pm, Continental 1–3 (Workshop Room 1)) ### Kent C. Dodds (Software Engineer & Educator, Independent) Kent C. Dodds is the creator of React Testing Library, an independent software engineer and educator who has shaped how developers test applications, build web products, and design AI assistants. His work spans influential JavaScript utilities, developer-education businesses, and Kody, an assistant designed to carry useful capabilities across applications. - Sessions: Closing the Agentic Loop: Getting Agents to Safely Build, Verify, and Ship (Nov 10, 11:40am - 12:40pm, Continental 7–9 (Workshop Room 4)) ### Kevin Bernstein (Principal AI Solution Architect, UiPath) Kevin Bernstein is a Solution Architect at UiPath, specializing in agentic AI, enterprise automation, and intelligent orchestration. With over a decade of experience designing and deploying automation solutions, he helps organizations bridge the gap between emerging AI capabilities and real-world business outcomes. His work focuses on building reliable, scalable AI systems that combine autonomous decision-making with deterministic execution and enterprise governance. - Links: https://www.uipath.com/ - Sessions: Your Automation Is Overthinking It (Nov 11, 2:48pm - 3:01pm, Continental 4–6 (Mainstage)) ### Khasimul Asif Mohammad (Principal Product Manager, Splunk) Asif is a Principal Product Manager at Splunk, a Cisco company, where he leads the product roadmap for AI Observability & Resilience (formerly Galileo). His team helps customers evaluate, monitor, guardrail and improve AI agents in production so they can ship reliable, trustworthy AI applications. He has several years of PM experience in scaling developer tools and infrastructure products at AWS, Splunk, and Freshworks, and founded a few startups. He is an angel investor in AI start-ups and a PM mentor. - Links: https://www.linkedin.com/in/khasimulasif/ - Sessions: Heal Your Agents, Don't Just Grade Them (Nov 11, 11:45am - 12:05pm, Continental 1–3 (Expo Sessions)) ### Killian Carlsen-Phelan (Developer Content Engineer, Sonar) Killian Carlsen-Phelan is a software engineer who now works in developer-facing content. He has experience building full-stack apps and has spent a lot of time close to the platform side as well. At Sonar, he creates hands-on technical content for developers: tutorials, sample projects, demos, and blogs that show how to use SonarQube and other offerings in real workflows (IDE, pull requests, and CI pipelines). He likes taking something that feels confusing at first and turning it into clear steps that a developer can follow and trust. - Links: https://www.linkedin.com/in/kcarlsen2/ - Sessions: More Checks, Less Noise: Layered Security for AI-Assisted Development (Nov 11, 2:30pm - 2:50pm, Continental 1–3 (Expo Sessions)) ### Lance Martin (Member of Technical Staff, Anthropic) Lance Martin is a member of technical staff at Anthropic, where his work includes Claude Managed Agents. Previously part of LangChain’s founding engineering team, he builds research agents, evaluation tools, and teaching materials. His development of open-deep-research captures a defining concern: the workflows that compensate for a model’s weaknesses can become obstacles when its capabilities improve. - Sessions: Exploring Claude’s frontier (Nov 12, 12:35pm - 12:55pm, Continental 4–6 (Mainstage)) ### Lauren Tan (Principal Engineer, SpaceXSI (xAI)) Lauren is a Principal Engineer at SpaceXSI where she works on Grok Bot and client architecture. She enjoys dropping cheeky memes in chat, playing video games with her partner, learning Korean, and petting her dogs Zelda and Link. - Sessions: All Code Is Slop (Except Mine) (Nov 11, 10:10am - 10:30am, Continental 4–6 (Mainstage)) ### Louis Walsh (Forward Deployed Engineer, Exa) Louis Walsh is a Forward Deployed Engineer at Exa in San Francisco and the developer of Exa for Shopping, a browser extension that uses Exa’s search API to bring price comparisons, retailer alternatives, and independent reviews to shoppers considering a product. - Sessions: Your agent pays twice for every search: how we cut token spend by 90+% with better accuracy (Nov 12, 2:55pm - 3:15pm, Continental 1–3 (Expo Sessions)) ### Lucas Meijer (Hacker, AgentsInTheCloud.com) Lucas Meijer helped build Unity from a 10-person startup into a 20B public company, as a hacker, an executive and the public face of the engine along the way. He's trying to figure out how to make software in this new world, and wrote agentsinthecloud.com along the way. - Links: https://lucasmeijer.com · https://x.com/lucasmeijer - Sessions: Forget AGI. You're Surrounded by Low-Hanging Fruit. (Nov 10, 10:10am - 11:10am, Continental 4 (Workshop Room 2)) ### Luke Alvoeiro (Member of Technical Staff, Factory) Luke Alvoeiro leads core agent at Factory. He builds Droid, the harness behind every Factory surface, and Missions, its multi-agent orchestration system. Before Factory, he co-created goose, Block's open-source AI agent. He focuses on making agents efficient and reliable enough for teams to hand off real work. - Sessions: Earning Autonomy: From Missions to Workstreams (Nov 11, 12:35pm - 12:55pm, Continental 4–6 (Mainstage)) ### Lydia Hallie (Member of Technical Staff, Anthropic) Lydia Hallie is a Member of Technical Staff at Anthropic, working on developer relations for Claude Code. She creates technical content, talks, and workshops that help developers understand how Claude Code works and how to use it effectively. - Sessions: Rethinking Claude Code Best Practices (Nov 11, 9:30am - 9:50am, Continental 4–6 (Mainstage)) ### Melvin Johnson (Vice President, Gemini Post-Training Lead, Google DeepMind) Melvin Johnson is a Vice President of Research at Google DeepMind, where he leads Gemini Post-Training across reinforcement learning, reasoning, alignment, and agentic capabilities for the Gemini model family. Previously at Google Research, he helped build Google’s Neural Machine Translation system and pioneered zero-shot multilingual translation across 100+ languages in Google Translate. He holds an M.S. in Computer Science from Stanford University. - Links: https://www.linkedin.com/in/melvinjosej · https://x.com/melvinjohnsonp - Sessions: Post-Training Gemini 4 for Real Engineering Work (Nov 12, 4:30pm - 4:50pm, Continental 4–6 (Mainstage)) ### Michael Liendo (Staff Developer Advocate, Auth0) As a Staff Developer Advocate at Auth0, I’ve had the opportunity to build applications, develop architectures, and speak around the world as a way to remain customer obsessed. Since my beginnings as a self-taught developer, I’ve been focused on simplifying complex scenarios so the barrier to entry becomes a door easily opened for new developers. - Sessions: Talk But Verify: human-in-the-loop for agents that actually matter (Nov 12, 11:45am - 12:05pm, Continental 1–3 (Expo Sessions)) ### Michelle Chen (Group Product Manager, Cloudflare) Michelle Chen runs the AI Platform at Cloudflare on the product team. She first started at Cloudflare in 2019 as an intern, took a break to do consulting at McKinsey, and returned to Cloudflare to be Chief of Staff to Dane Knecht (CTO) before starting and taking on the AI Platform. She spends the rest of her time either contemplating design, fashion, literature or hanging out with her dog. - Sessions: cloudflare is a neolab (Nov 11, 9:50am - 10:10am, Continental 4–6 (Mainstage)) ### Mihail Eric (Head of AI, Monaco) I’m Head of AI at Monaco, a startup building the future AI-powered revenue platform for GTM teams, backed by Human Capital, Benchmark, and Founders Fund. I'm also an adjunct professor at Stanford, where I created and teach "The Modern Software Developer", the university's first course on AI software development. I've trained hundreds of engineers on AI coding principles and have advised dozens of global software teams on AI development. In past lives, I was a technical lead at Amazon Alexa where I built the first LLMs for the organization. I also founded a YC-backed AI coding company. Before that I started Confetti AI, a machine learning education startup that trained thousands of students globally and that I led until its acquisition in 2022. I love teaching. My resources and talks have been viewed 5M+ times on various channels. Some of my past presentations: https://www.youtube.com/watch?v=wEsjK3Smovw - Links: http://mihaileric.com · https://www.linkedin.com/in/mihaileric/ · https://x.com/mihail_eric - Sessions: Building World-class Agentic GTM: Learnings from Monaco for Monaco (Nov 10, 3:30pm - 3:55pm, Continental 1–3 (Workshop Room 1)) ### Natalie Serrino (Co-Founder, Gimlet Labs) Natalie Serrino is a co-founder of Gimlet Labs and an engineering leader behind KForge, a system that uses AI to generate and optimize the specialized kernels powering machine-learning workloads across different processors. Her work tackles a central obstacle to efficient AI infrastructure: applications increasingly span multiple models, tools, and computational stages, yet adapting their software to unfamiliar accelerators requires scarce systems expertise. Serrino studied computer engineering at Brown University, where she helped establish Spira, an engineering program for high-school girls supported by the National Science Foundation. She subsequently became a founding engineer at Observe and Pixie Labs. Following Pixie’s acquisition by New Relic in 2020, she worked there as a principal engineer, developing infrastructure observability techniques including Kubernetes autoscaling based on application-specific HTTP traffic. At Gimlet, which launched publicly in October 2025, Serrino applies that operational background to heterogeneous inference orchestration: assigning individual stages of agentic applications to processors suited to their distinct computational and memory requirements. - Links: https://gimletlabs.ai/blog · https://www.linkedin.com/in/natalieserrino/ · https://x.com/nserrino - Sessions: What Will You Build When AI Is 10x Faster? (Nov 11, 9:10am - 9:30am, Continental 4–6 (Mainstage)) ### Nikhil Harithas (Head of Deployed Engineering, Factory) - Links: https://www.linkedin.com/in/hurrythas - Sessions: CVE remediation with Factory: from finding to merged PR (Nov 11, 3:20pm - 3:40pm, Continental 1–3 (Expo Sessions)) ### Owen Kephart (Member of Technical Staff, Vercel) Owen Kephart is a Member of Technical Staff at Vercel, where he works on eve, Vercel’s agent framework. - Sessions: Build Your Own Agent Harness with eve and Vercel (Nov 10, 11:40am - 12:40pm, Continental 4 (Workshop Room 2)) ### Patrick Debois (AI Product Engineer, Tessl) Godfather of Devops, working on shaping the next wave of Software delivery with AI - Links: https://jedi.be/blog · https://www.linkedin.com/in/patrickdebois/ · https://twitter.com/patrickdebois - Sessions: Multiplayer software factories - Leading the shift to concurrent delivery (Nov 10, 4:30pm - 4:55pm, Continental 1–3 (Workshop Room 1)) ### Philip Kiely (Author of Inference Engineering, Baseten) Philip Kiely is the author of Inference Engineering and works on special projects at Baseten. Outside of work, you'll find Philip practicing martial arts, reading a new book, or cheering for his adopted bay area sports teams. - Links: https://philipkiely.com · https://linkedin.com/in/philipkiely · https://twitter.com/philipkiely - Sessions: Inference Engineering for Coding Agents (Nov 10, 11:40am - 12:05pm, Continental 1–3 (Workshop Room 1)) ### Philipp Schmid (MTS, Google DeepMind) Philipp Schmid is a Senior AI Developer Relations Engineer at Google DeepMind working on Gemini, Gemma with the mission to help every developer and builder to create and benefit from AI in a responsible way. - Links: https://www.philschmid.de/ · https://www.linkedin.com/in/philipp-schmid-a6a2bb196/ · https://x.com/_philschmid - Sessions: AFK Engineering: From Terminal to Voice-Controlled Remote Agents (Part 1) (Nov 10, 1:50pm - 2:50pm, Continental 4 (Workshop Room 2)); AFK Engineering: From Terminal to Voice-Controlled Remote Agents (Part 2) (Nov 10, 3:00pm - 4:00pm, Continental 4 (Workshop Room 2)); I deleted 90% of my harness (And It Got Better) (Nov 11, 11:20am - 11:40am, Continental 4–6 (Mainstage)) ### Quinn Slack (CEO, Amp) Quinn Slack is the co-founder and chief executive of Amp, the coding-agent company, and the co-founder and former chief executive of Sourcegraph, the enterprise code-search business. His career traces the evolution of developer tools from searching unfamiliar codebases to building AI systems that can understand, modify, and evaluate software. - Sessions: Quinn Slack, CEO, Amp (Nov 12, 4:50pm - 5:10pm, Continental 4–6 (Mainstage)) ### Raz Berman Gold (Co-Founder & CTO, Overcut) Raz Berman is Co-Founder & CTO of Overcut, building the enterprise control plane for agentic software development. Before Overcut she spent ~10 years at Microsoft, most recently as a Principal Software Engineering Group Manager leading a ~20-person Edge AI team and owning Azure Video Indexer service. She works hands-on with teams rolling AI into their production SDLC — the source of this talk. - Links: https://overcut.ai/ · https://www.linkedin.com/in/raz-berman-software-engineering-group-manager - Sessions: The Software Factory That Needs Zero FDEs (Nov 11, 12:35pm - 12:55pm, Continental 1–3 (Expo Sessions)) ### Richelle Ji (Chief of Staff, Featherless AI) - Sessions: MC Intro (Nov 10, 8:55am - 9:00am, Continental 1–3 (Workshop Room 1)); MC Outro (Nov 10, 5:25pm - 5:30pm, Continental 1–3 (Workshop Room 1)) ### Ross Cefalu (Member of Technical Staff, Factory) - Links: https://www.linkedin.com/in/rcefalu - Sessions: Stop Prompting, Start Delegating: Hand off work to a team of agents (Nov 10, 10:10am - 11:10am, Continental 7–9 (Workshop Room 4)) ### Sajid Mehmood (CEO & Co-founder, Niteshift) Sajid Mehmood is the co-founder and CEO of Niteshift, the full-stack cloud for coding agents. Backed by Greylock, Amplify, and BoxGroup, Niteshift lets engineers run any frontier coding agent in the cloud with their full dev environment for end-to-end verification. Previously, Sajid was VP of Engineering at Datadog, where he launched several product lines, including Serverless Monitoring, Network Performance Monitoring, and Cloud Cost Management. He also started and oversaw Datadog's Applied AI group, which trained the state-of-the-art time-series foundation models Toto and Toto 2 and shipped Bits SRE, one of the first developer-facing AI agents, launched in August 2023. Before Datadog, Sajid was the founding CTO of fintech unicorn Taptap Send and a software engineer at Google, where he worked on cross-datacenter networking. He graduated summa cum laude from Princeton with a BSE in Computer Science, where he published research on data visualization and computational biology. - Links: https://x.com/smehmood - Sessions: Leaving Localhost: Building an Agent-Native Dev Environment (Nov 11, 3:45pm - 4:05pm, Continental 1–3 (Expo Sessions)) ### Scott Roberts (Principal Engineer, Workday) - Sessions: Autocomplete for Actions: System One from the UI to the DB (Nov 11, 3:24pm - 3:37pm, Continental 4–6 (Mainstage)) ### Scott Tolinski (Co-host, Syntax) Co-host of the most popular web development podcast in the world, Scott Tolinski has been teaching coding on Youtube since 2012. - Sessions: The True Cost of AI Coding (Nov 10, 10:10am - 10:35am, Continental 1–3 (Workshop Room 1)) ### Simon Willison (Creator of Datasette, Independent) Simon Willison is the creator of Datasette, a co-creator of the Django web framework, and an independent open-source developer whose work spans data journalism, SQLite, and practical AI engineering. He builds tools that make powerful systems more accessible and inspectable while exposing the security risks of giving language models access to sensitive information. - Sessions: Simon Willison, Creator of Datasette, Independent (Nov 11, 5:30pm - 5:50pm, Continental 4–6 (Mainstage)) ### Stephen Chin (VP of Developer Relations, Neo4j) Stephen Chin is VP of Developer Relations at Neo4j, AAIF ambassador, program chair and board member for the LF AI & Data Foundation, and author of numerous titles including the upcoming GraphRAG: The Definitive Guide for O'Reilly. He has given keynotes at numerous conferences around the world including AI Engineer World’s Fair, The AI Conference, AI DevSummit, Open Source Summit, Devoxx, Jfokus, DevNexus, JNation, JavaOne, Shift, Joker, swampUP, and GIDS. Stephen is an avid motorcyclist who has done evangelism tours in Europe, Japan, and Brazil, interviewing developers in their natural habitat. When he is not traveling, he enjoys teaching kids how to do AI, embedded, and robot programming together with his daughters. - Links: http://steveonjava.com/ · https://www.linkedin.com/in/steveonjava/ · https://twitter.com/steveonjava - Sessions: Warning: This Pull Request Contains Graphic Content (Nov 10, 5:00pm - 5:25pm, Continental 1–3 (Workshop Room 1)) ### Steve Yegge (Independent Advisor & Creator of Beads & Gas Town, Independent) Steve Yegge is a software engineer, writer, and independent AI adviser who created Beads and Gas Town, open-source tools that preserve coding agents’ work and coordinate their sessions. Earlier, he built Google’s internal code knowledge graph, Grok, and wrote the Platforms Rant. His recent work puts his enthusiasm for autonomous development through the demands of a live multiplayer game: agents must carry assignments across sessions, integrate their changes, and serve players who may not welcome every increase in development speed. - Sessions: Software Factories: Escape from Trash Mountain (Nov 11, 5:10pm - 5:30pm, Continental 4–6 (Mainstage)) ### Sudhir Tonse (Director of Engineering, Splunk) Sudhir Tonse is a Director of Engineering at Splunk, part of Cisco, where he leads Core Platform & Research for AI Observability and Resilience. His work focuses on helping organizations understand and trust AI systems in production, with an emphasis on the observability, resilience, and security foundations needed to identify risks and build dependable AI applications. Sudhir has more than two decades of experience building engineering teams and platforms across AI/ML, data, cloud infrastructure, and large-scale software. Before joining Splunk, he was Vice President of Engineering at Galileo, an AI startup focused on evaluating and observing generative AI systems that was later acquired by Splunk. At DoorDash, he built and led the Data and AI/ML Platform organization, growing it to more than 100 people and establishing a platform roadmap supporting logistics, recommendations, and other use cases. At Uber, he led engineering in the Marketplace and Data + AI domains during a period of rapid growth. At Netflix, he contributed to the transitions from DVD to streaming and from on-premises systems to the cloud. Sudhir enjoys sharing lessons from building AI platforms through talks and writing, and mentoring engineering leaders. - Sessions: Heal Your Agents, Don't Just Grade Them (Nov 11, 11:45am - 12:05pm, Continental 1–3 (Expo Sessions)) ### Sydney Runkle (Product Manager, LangChain) - Sessions: Proactive Agent Engineering (Nov 10, 12:10pm - 12:35pm, Continental 1–3 (Workshop Room 1)) ### Taylor Luttrell-Williams (Developer Content Engineer, Sonar) Taylor Luttrell-Williams is a Developer Content Engineer at Sonar, where he leverages a background in full stack software development and DevOps, and a passion for teaching, to produce deep, technical content. He connects Sonar’s products to the global developer community, shaping how practitioners approach code quality and security, through hands-on educational content, such as technical tutorials, blogs, and videos. Taylor is based in Austin, Texas. - Links: https://www.sonarsource.com/products/sonarqube/ · https://www.linkedin.com/in/taylor-g-l-7043b6186/ - Sessions: Hands-on Gitar: An AI Code Verification Agent for Your CI (Nov 10, 3:00pm - 4:00pm, Continental 6 (Workshop Room 3)); More Checks, Less Noise: Layered Security for AI-Assisted Development (Nov 11, 2:30pm - 2:50pm, Continental 1–3 (Expo Sessions)) ### Tejas Kumar (AI Engineer, IBM) Tejas Kumar is an AI Engineer at IBM, based in Berlin, Germany. He is the best selling author of Fluent React (O'Reilly) and the host of the ConTejas Code podcast. He has been building on the web for over 25 years and has given 80 recorded talks at 64 events since 2012. He speaks on AI engineering, agent harnesses, React and the web platform. Recordings, topics and booking: https://tej.as/speaking - Links: https://instagram.com/tejaslikecontagious · https://www.linkedin.com/in/tejasq · https://x.com/TejasKumar_ - Sessions: Build a Coding Agent Harness From an Empty Loop (Nov 10, 9:00am - 10:00am, Continental 7–9 (Workshop Room 4)) ### Thariq Shihipar (Independent) Thariq Shihipar is an independent engineer who worked on Claude Code at Anthropic. He left Anthropic in October 2026 after more than a year on the team. His contributions included AskUserQuestion, the tool that presents structured questions when an agent needs to clarify a user's requirements. Before Anthropic, Thariq co-founded scholarly publishing platform PubPub and led gaming company One More Multiverse. His current work explores how tools and interfaces let agents accomplish tasks—and help people understand the decisions made along the way. - Sessions: Thariq Shihipar, Independent (Nov 12, 5:30pm - 5:50pm, Continental 4–6 (Mainstage)) ### Theodor Marcu (Head of Product Growth, Cognition) Theodor Marcu is the Head of Product Growth at Cognition. - Links: https://cognition.ai · https://x.com/theodormarcu - Sessions: Scaling Your Agent Workforce: Lessons from Inside Cognition (Nov 12, 2:05pm - 2:25pm, Continental 1–3 (Expo Sessions)) ### Thor Schaeff (Member of the Technical Staff, Google DeepMind) Thor Schaeff works on developer experience at Google DeepMind, helping developers build with the Gemini API and Google AI Studio. His work teaches through inspectable applications: semantic search that runs inside a browser, voice agents adapted to model and speech constraints, and conversational interfaces that call tools to generate images or music. - Sessions: AFK Engineering: From Terminal to Voice-Controlled Remote Agents (Part 1) (Nov 10, 1:50pm - 2:50pm, Continental 4 (Workshop Room 2)); AFK Engineering: From Terminal to Voice-Controlled Remote Agents (Part 2) (Nov 10, 3:00pm - 4:00pm, Continental 4 (Workshop Room 2)) ### Utkarsh Shrivastava (Senior Engineering Manager, Netflix) Utkarsh Shrivastava leads engineering for enterprise AI at Netflix, where his organization builds enterprise search and Netflix’s agentic suite. Their work helps employees find information across the company, get answers that span multiple systems, and get work done with AI. His current focus is making these capabilities work together as more teams build their own AI tools, including how agents retrieve information, choose among overlapping tools, and take actions responsibly. His leadership at Netflix has spanned enterprise AI, intelligence engineering for enterprise functions, data platforms, and customer-service systems. He built a leadership team across locations, including Netflix’s Warsaw engineering hub. He also led the data warehouse team and expanded it to support a data lake. Earlier, he led the transformation of Netflix’s customer-service systems through generative AI. Before Netflix, Utkarsh led several engineering teams at Yahoo Mail across mobile and desktop. He helped establish Yahoo Mail’s growth team, led its experimentation work, and worked on its Windows 10 app. He is a named inventor on several patents at Yahoo and Netflix. - Links: https://www.netflix.com/ · https://www.linkedin.com/in/utkarshshrivastava - Sessions: Building a Shared AI Assistant: The Platform Challenges Beyond MCP (Nov 10, 3:00pm - 3:25pm, Continental 1–3 (Workshop Room 1)) ### Walden Yan (Chief Product Officer, Cognition) Walden Yan is a co-founder of Cognition, the company behind Devin, an autonomous software-engineering agent. His work spans neural program synthesis and the design of agents that carry out extended engineering tasks. His writing explains a particular difficulty in that progression: agents can produce individually plausible changes that conflict when combined, because each change carries decisions about how the software should work. - Sessions: A New Age of Software Engineering (Nov 12, 11:20am - 11:40am, Continental 4–6 (Mainstage)) ### Yacine Mahdid (CEO, Datadom) Yacine Mahdid is the CEO of Datadom and an entrepreneur and researcher with a keen interest in machine learning. He writes "learning with yacine", a newsletter untangling deep learning and the brain. - Links: https://www.yacinemahdid.com/about · https://www.linkedin.com/in/yacinemahdid/ - Sessions: A Field Guide to Agent Shapes: From Long-Horizon to Open-Ended (Nov 10, 1:50pm - 2:50pm, Continental 6 (Workshop Room 3)) ### Zach Bruggeman (Principal Software Engineer, Ramp) Zach Bruggeman is a Principal Software Engineer at Ramp, leading the efforts on Inspect, Ramp's coding agent. In practice, this means he spends a lot of time talking to robots, but still prefers the humans after all. - Sessions: How to build an agent that builds the culture (Nov 11, 4:50pm - 5:10pm, Continental 4–6 (Mainstage)) ### Zach Lloyd (Founder & CEO, Warp) Zach Lloyd is the founder and CEO of Warp, where his work has progressed from redesigning the terminal to helping developers direct, supervise, and improve AI coding agents. A former principal engineer who led Google Sheets and engineering across the Google Docs suite, he emphasizes product-first engineering: judging technical decisions by whether they help people build useful, working software. - Sessions: Software Engineering Is Becoming Factory Engineering (Nov 12, 9:50am - 10:10am, Continental 4–6 (Mainstage)) ## Side Events - **Opening Reception** (official AIE event, attendees only): TUE, NOV 10 · 5:30 – 8:30 PM PT · Expo Hall, Hilton San Francisco Union Square Kick off Code Summit with fellow attendees in the expo hall, directly following the final workshops. All badge holders are admitted. RSVP: https://luma.com/a3r6yqzo - **allthings/aie**: WED, NOV 11 · 7 – 10 PM PT Free, approval-only community night after the talks: lightning hot takes, open mic, music, and performances. No sponsored talks, no pitches. RSVP: https://luma.com/allthings-aie - **Official After Party** (official AIE event, attendees only): THU, NOV 12 · 6:30 – 9:30 PM PT · Financial District, San Francisco Close out Code Summit with the people building the AI coding stack. Hosted by Neon, Vercel, and Factory. Bring your badge or ticket to get in. RSVP: https://luma.com/after-summit - **AIE x MLH Hackathon** (official AIE event, free): FRI, NOV 13 · 9 AM – 9 PM PT Code Summit wraps up, but the ideas don't have to. Major League Hacking hosts a full-day hackathon for Summit attendees to take what they learned and build something with it. RSVP: https://luma.com/AIECodeSummitHackathon - **AI Engineer Kids Day** (official AIE event, free): SAT, NOV 14 · 12:30 – 3:30 PM PT · SoMa, San Francisco Our first Code Summit Kids Day: a hands-on afternoon for curious young builders to explore AI and code with Cassandra Chin, speaker, developer, and book author. RSVP: https://luma.com/kdtg113c ## Usage Examples ```bash curl https://ai.engineer/code/2026/sessions.json | jq '.sessions[] | select(.type == "workshop") | {time, title, room}' ``` ```js const { speakers } = await (await fetch('https://ai.engineer/code/2026/speakers.json')).json(); console.log(speakers.map((s) => `${s.name}, ${s.company}`)); ``` ```python import requests data = requests.get('https://ai.engineer/code/2026/sessions.json').json() for s in data['sessions']: print(s['startsAt'], s['title']) ``` MCP client config: ```json { "mcpServers": { "ai-engineer": { "url": "https://ai.engineer/mcp" } } } ```