Autofill from Schedule
Portrait
Landscape
Trading Card
Joyce Zhang & Carole Robin, Ph.D.
Human Connection in the Age of AI
Sonar & Extend AI
Expo Welcome Speech
Pamela Fox
Get Started with Models in Microsoft Foundry to Build AI Apps
Gustavo Cordido
From zero to deployed on Azure with AI agents
Pamela Fox
Observe, optimize and protect your hosted agents in Microsoft Foundry
Laurie Voss
From Vibes to Production: Evaluating and Shipping AI Agents That Work 101
Fuad Ali
Building self-learning loops for your agent
Tejas Kumar
Evals in AI: A Deep Dive
Ankur Duggal
Let your agent cook: using skills to evaluate and improve your app
Laurie Voss
From Vibes to Production: Evaluating and Shipping AI Agents That Work 201
Ang Li
The Autonomous Computer: Full-stack Infrastructure for Computer Use Agents
Zach Blumenfeld
AI on Your Lakehouse: Context Comes in Shapes, Not Queries
Nyah Macklin
RAG Needs a Map: Using GraphRAG to Retrieve Connected Context
John Craft & Dan Ndombe
From approval loops to autonomous agents with Docker
Yoni Michael & Brandon Callender
The Data Context Layer: Why Data Engineering Agents Need More Than Code and Databases
Paul Bakaus
The Dark Arts of Skill Engineering
Charlie Guo & Gabriel Chua
Cooking with Codex
Matt Brockman
How I learned to stop worrying and love the sandbox
Harshul Jain & Tanmay Sah
2 hr deep dive on LLM Inference at Scale — Part 1 of 2
Harshul Jain & Tanmay Sah
2 hr deep dive on LLM Inference at Scale — Part 2 of 2
Daniel Han
Special topics in Kernels, RL, Reward Hacking in Agents
Shane Wolf & Andrei Bocan
The best SDLC is the one you build yourself: Why orchestration changes everything
Pamela Fox & Arun Sekhar
The model swap workshop
Kent C. Dodds
Build the Right Thing: Product Engineering for Software Developers (Part 1)
Kent C. Dodds
Build the Right Thing: Product Engineering for Software Developers — Part 2
Mark Lummus & Navinkumar Patil
Burn your flags: How PayPal designs interactive CLI tools for agents
Shubhankar Srivastava
Hill-climbing Skills: How to Improve Agents Without Touching the Model
Javier Garza
AI Security Engineer Foundations + Certificate
Dhruv Nathawani
Teaching Agents to Search: Building Synthetic Training Pipelines with NVIDIA Data Designer
Wolfram Ravenwolf
From Zero to Leaderboard: Building an End-to-End AI Agent Evaluation Pipeline
Michael Forrester & Whitney Lee
Build a Platform, Unleash an Agent on it.... and Watch it Burn!
Micah Silverman
AI Security Engineer Foundations + Certificate
Bereket Habtemeskel & Paola Estefania
Agent Auth
Ignacio Martinez
Total Recall: Agent Memory and Harness Engineering
Ahmad Osman
Local LLMs and workstation agents: Part 1
Ahmad Osman
Local LLMs and workstation agents: Part 2
Killian Carlsen-Phelan
SonarQube + OpenAI: Wiring Your Team for Agentic Development
Louis-François Bouchard & Samridhi Vaid & Omar Solano
Context Engineering in 2026: Compaction, Memory & Cost
Will Brown
The Prime Intellect Stack
Du'an Lightfoot
Agents That Own Their Inference: Building Production AI Agents on Dedicated GPUs
Nnenna Ndukwe
How to Build Quality Gates into Agentic Coding Workflows
Peter Werry
Beyond RAG: Build a Relational Context Engine from Scratch
Palak Agarwal
How Reducto parsed the Epstein Files for the Viral JMail Project: The Secret Complexities of Document
Jeff Vestal
Vector Isn't Enough: Hybrid Search & Retrieval for AI Engineers
Nick Nisi & Zack Proser
Lifestyles of the AI-Native: Voice-coding, agent skills, hooks and scheduled tasks
Zain Hasan & Yubo Wang & Qingyang Wu & Jue Wang
Open-Source Inference Engineering for the Agentic Era
Charles Frye
What is an Inference Engine, Anyway?
Yohan Raju
Building AI Agents with Real-Time Web Data
Filip Makraduli
Turning My Obsidian Vault Into a Local AI Engineer
Emile Baizel & Shruti Arora
Build with Perception Agents
Joel Hooks
The Art and Science of Loopcraft with Pi (and friends)
Doug Ghutrie
Advanced workshop: Mastering AI Observability
Elizabeth Fuentes Leone & Sandhya Subramani
Agent Speedrun: Idea → Code → Deploy → Observe, Fix → Ship
Paige Bailey
Research to Reality with Google DeepMind
Lotte Verheyden & Annabell Schäfer
Continuously improving agents with Langfuse
Zhengyao Jiang & Dixing Xu & Vayum Arora & Dhruv Srikanth
Hands-on AutoResearch: Cracking OpenAI's Parameter Golf
Gagan Bhat & Isabella Kai He
Evolution of agentic surfaces
Idan Gazit
Build agents fast with GitHub Copilot (from idea to working app)
Pamela Fox
Use Copilot across CLI, dev, and cloud workflows to move faster end-to-end
Salil Subbakrishna
Modernize CI/CD using agent-assisted workflows that reduce manual debugging
Maria Bledsoe
Using AI tools to teach old apps new tricks
Harald Kirschner
Surviving Your Own Velocity: How VS Code Ships Weekly with 40 People
Ryan Dahl
Security Firewall for Agents
Vinoth Govindarajan
Your Agent Didn’t Fail. Your Harness Did.
Benjamin Guo & Rob Cheung
Everyone Gets A Software Company
Shu Fang
Tethered: Our Agents Are Us
Jean-Denis Greze
Agents' next frontier: agent-to-agent and network effects
Lance Martin
Claude for long-horizon tasks
Karan Vaidya
From coding to Knowledge work agents
Tanmai Gopal
Your company brain will leak secrets. Here's how we stopped it for big banks and ourselves.
Sam Bhagwat
Every Harness Will Become A Claw
Kenton Varda
Gadgets: Personal app vibe coding that is actually safe
Joseph Nelson
The State of Vision
Jerry Liu
Building the Document Context Layer for AI Agents
Merve Noyan
Skill issue: stop deploying vision language models, use them with Skills to build e2e vision apps on edge
Aditya Gautam
Modality Misalignment and Originality Attribution in Short-Form Video: A Multi-Agent Approach at Platform Scale
Adit Abraham
From Ingestion to Agents: How Leading AI Teams Build on Document Intelligence
Andrew Dai
The Best Models Still Reason Like Toddlers
Cody Menefee
You’re Not Thinking Big Enough: Rebuilding Food Systems from First Principles with AI Agents
Armen Aghajanyan
From VLM/VLA's to Embodied Agents
Krishna Prasad Srinivasan
From Scratch to SOTA: Training a 3B State-Space Vision Model for 1.4 Billion People
Edo Liberty
Pinecone 2.0
Jo Kristian Bergum
The unreasonable effectiveness of BM25 for agentic search
Will Bryk
The Search Engine for the Agentic Web
Liad Yosef
Rebuilding the web for agents
Benjamin Clavié
If we want them to do Knowledge Work, we need to design Knowledge Agents
Hiral Shah & Sean Sodha
Your Agreements Are a Database You Can't Query. We're Fixing That
Simon Eskildsen & Jacob Lauritzen
How to Connect AI to Billions of Legal Documents
Maximilian-David Rumpf & Lotte Seifert
Where RL Will Take Search
Yuval Belfer & Niv Granot
Stop Chunking Like It's 2022
Priyanka Phatak & Gabriel Cemaj
Claude Managed Agents Workshop (Part 1)
Priyanka Phatak & Gabriel Cemaj
Claude Managed Agents workshop (Part 2)
Priyanka Phatak & Gabriel Cemaj
Claude Managed Agents workshop (Part 3)
Priyanka Phatak & Gabriel Cemaj
Claude Managed Agents workshop (Part 4)
Neil Zeghidour
Everybody Gets a Digital Clone! (Part 1 of 3)
Neil Zeghidour
Everybody Gets a Digital Clone! (Part 2 of 3)
Neil Zeghidour
Everybody Gets a Digital Clone! (Part 3 of 3)
Jason Liu
Setting Yourself Up for Success — Part 1
Jason Liu
Setting Yourself Up for Success — Part 2
Jason Liu
Setting Yourself Up for Success — Part 3
Manoj Nair
Through the AI Fog: The architectural decision the next 24 months of agentic security depends on.
Lovina Dmello
Your LLM Stack Is a 2008 Database With Better Marketing: Why ML Security Is Dominated by Misconfiguration, Not Missing Features
Moritz Johner
We Gave an Agent Production Code Access and Then Tried to Sleep at Night
Ezra Tanzer
Agentic Development Security
Eugene Yan
Using LLMs to Secure Source Code
Ethan (Jung Min) Cha
Dual-Surface Architecture: Serving Humans and Agents from the Same Tool Layer
Steve Yegge
Agentic Security: Permissions, Provenance, and the Agent Supply Chain
Kim Maida
It's 10pm. Do You Know Where Your Agents Are?
Aaron Stanley
AI’s Jurassic Park Period
Ethan Sutin
Secure Cloud Compute
Kwindla Kramer
The New Primitives: Building AI-Native Software
Valeria Wu Fon & Tom Ouyang
Speech-to-Speech Model Research at Google DeepMind
Charlie Guo
Voice Agents Can Just Do Things
Neil Zeghidour
Your Voice Agent is Just a Walkie-Talkie
Paula Dozsa
Tolan: Voice-First AI Companion
Venky B & Vyas A
5 Voice Agent Failure Modes You'll Hit in Week One
Sumanyu Sharma
I Monitored Crime Audio. Voice Agents Scare Me More.
Bohan Li
Realtime Voice Agents with Frontier Intelligence
Midam Kim
"My name is... my name is...": A Linguistic Map for Building and Debugging Voice Agents
Amit Desai
Act, Confirm, or Stop? Smarter behavior for AI assistants, wearables & robots
Devansh Tandon
Tokens In, Engagement Out: Training LLM-Recommenders
Jacqueline Wood & Yves Raimond
Spotify LLM Recsys
Raghav Saboo
LLM Recsys at DoorDash
Devansh Tandon
Open Q&A: LLM Recsys
John Craft
From approval loops to autonomous agents with Docker pt1
John Craft
From approval loops to autonomous agents with Docker pt2
John Craft
From approval loops to autonomous agents with Docker pt3
John Craft
From approval loops to autonomous agents with Docker pt4
John Craft
From approval loops to autonomous agents with Docker pt5
Eno Reyes
How Forward Deployed Engineering is done at Factory
Pauline Brunet
How Forward Deployed Engineering is done at Cursor
Vasuman Moza
AI tools for Forward Deployed Engineering
Jia Wu
How Forward Deployed Engineering is done at Cognition
Natalie Meurer
The Dirty Secret of Forward Deployed Engineering
Sunny Rekhi
How Forward Deployed Engineering is done at Decagon
Leo Mehr
How Forward Deployed Engineering is done at Ramp
Kevin Bai
Forward Deployed Engineering 101
Vinoo Ganesh
How Forward Deployed Engineering is done at Kepler
Ari Morcos
Data Quality is the Compute Multiplier
Robert McHardy & Marah Abdin
The Messy Reality of Scale: Synthetic Data and Pre-Training at Poolside
Rayan Garg
Rethinking Environments for Long Horizon Work
David Brumley
Bugcrowd posttraining talk
Varun Singh
The Base Model is Dead
Thais Castello Branco
Ending AI Slop
Ross Taylor & Chengxi Taylor
Scaling to Long-Horizons: Algorithms, Environments, Compute
Nick Heiner
When Will The Benchmaxxing Plague End?
Nicolai Ouporov
Building Worlds for Models
Mahesh Sathiamoorthy
Data and Environment Curation for Post-training LLMs
Dor Sasson
Every AI company is accidentally building a bank.
Owen Halpert
Give your coding agents the power of turbogrep!
Dat Ngo
Your Agent Is Lying to You About Whether It Worked
Vlad Luzin
Every Agent, Everywhere, All at Once
Jim Clark
Who Approved That MCP Server? Governing the Tool Layer
Marina Petzel
Beyond Golden Signals: Monitoring in the Age of GenAI
Varun Krovvidi
6 Pillars of an Agentic Harness That Fixes Production Incidents
Thor 雷神 Schaeff
Can Your Agent Hear You Now?
Pedro Lopez
How We Built the Airbyte Agent MCP Server and CLI
Dan Adler
The Enterprise Agentic Gap: When Developer-Level AI Tools Hit Millions of Lines
Will Lyon
Actionable Knowledge For Agents With Context Graphs
Jess Wang
Agentic vs. Vector Search: An Eval-Driven Approach to Coding Agent Performance
Hossein Niazmandi
Why building building agent quality platforms is hard.
Fuad Ali
Voice Agents Are Mostly Invisible. Here's How to See Them.
Idan Gazit
Build agents fast with GitHub Copilot (from idea to working app)
Rafael Levi
Video Discovery for Agentic World-Model Training
Anders Swanson
From Context to Memory: Your Agents Need a Real Memory Layer
Abhi Arya
From Chatbots to Agents: How Reducto builds for Agent Experience to Enable Real Work
Sam Parsons
How PayPal Enterprise Payments handles agent-initiated payments across ChatGPT and Google AI Mode
Gabriel Martinez
Agents Don't Have Coworkers, They Have Hostages
Simran Arora
Can LLMs write fast multi-GPU kernels? We built a benchmark to find out.
Felipe Blanes
Designing Evals That Earn User Trust
Jeff Ng
Building agents is trivial now, context is the next frontier
Bogdan Gaza
Running a 20T-Token Data Pipeline: Infrastructure Lessons from Production
Charlie Dickens
Towards Reliable Financial Agents: How a 4B Model Outsmarted a 235B Giant
Jakub Hojsan
Agentic Search for Coding Agents
Aditya Khandelwal
Agents, codebases, and teams: what it actually takes to ship together
Andreea Pleşea & Dan Bălăceanu
Would your AI agent get the job? A performance review framework for enterprise agents
Rafal Wilinski
Self-Improving Agents That Teach the Company Back
Greg Pstrucha
Stop prompting
Derek Meegan
Deploying browser agents at scale
Leo Platzer
From raw documents to AI-ready data
Em Shreve
AI Enablement at Automattic: How a Remote Company Builds AI Fluency
Nilofer Rajpurkar
Inside the AI economy: What Stripe’s data reveals
Jesse Lumarie
Building the engine while flying the plane — launching the Figma MCP server
Uday Kiran Medisetty & Adam Huda
Agentic SDLC at Uber: Building Blocks for Uber's Software Factory
Will Bond & Ameya Ketkar
Scaling Code Quality: Building uReview, Uber’s Multi-Agent Code Review Engine
Andrew Orobator
Spin at the Gate Until Green: The Engineering Primitives Behind Self-Driving Codebases
Nachiket Paranjape & Swaroop Chitlur Haridas
AI Evals Platform for Cross-Functional Teams at Scale
Kanish Manuja
Productionizing LLM Gateways: Architecture, Tradeoffs, and Hard Lessons from the Trenches
Clare Liguori
From AI-Assisted to AI-Native: Building a Frontier Development Team
Eyal Blum
How to Get Your Org to Adopt Coding Agents (Without Shipping Garbage)
David Hsu
Governance Is the Real Bottleneck to AI ROI
Ameya Bhatawdekar
Your Agent Evolved. Your Evals Didn't.
Itamar Friedman
The Last Human Code Review: Building Trust in AI-Generated Code
Hursh Agrawal
Prototyping as Leadership: How a CTO Ships with AI Agents
Arek Borucki
Serving 2 Million Models Without Melting: Scaling the Hugging Face Hub
Sarthak Aggarwal
IT Admin for the AI Workforce: Why Your AI Agents Will Need Their Own IT Department
Kieran Klaassen
The Era of Compound Engineering
Niels Rogge
How I automate my own job at Hugging Face using agents
Dan Bjornn
Your Fine-Tuned Model Is Tech Debt: A 50x ROI House of Cards
Tushar Jain
Unlock Agent Autonomy: The Runtime for AI-Native Systems
swyx
The Highest Loop
Pablo Castro
On AI and Knowledge
Alexander Embiricos & Romain Huet
The Golden Age of AI Engineering
Zixuan Li
GLM-5.2: Frontier Intelligence, Open Weights.
Thom Wolf & Olive Song
Thom Wolf keynote
Manoj Nair
Security Track intro
Jason Liu
Getting the most out of Codex
Tereza Tížková
Rise of the Software Factory
Charlie Holtz
Orchestras, not Factories
Daksh Gupta
What we learned by analyzing 1M AI-generated PRs
Gergely Orosz & Simon Eskildsen
Fireside Chat: Gergely Orosz × Simon Eskildsen
Kevin Hou
Get Out of the Model's Way
Zach Lloyd
Self-Improving software factories: The new open source model"
Ido Salomon
We're the bottleneck, but we don't have to be
Sarah Sachs
Notion's Token Town
Vaibhav Gupta
fighting slop with slop
Kyle Mistele
Loop Engineering from first principles
Dex Horthy
Harness Engineering is not Enough: Why Software Factories Fail
Erik Meijer
In Code They Act, In Proof We Trust
Lee Robinson
Recursive Model Improvement
Tina Manghnani & Keiji Kanazawa
From framework to runtime: running agents with Foundry Agent Service
Arun Sekhar & Pamela Fox
OpenAI, Anthropic, or agent frameworks: choose the right AI stack
Marco Casalaina
Power agents with Microsoft IQ
Ashu Joshi
Deploy agents to users in M365, Teams, and apps
Adam Azzam
Don’t build agents, build environments
Shashank Goyal
Letting the Interns Loose — How We Accelerated AI Adoption.
Ivan Burazin
Kubernetes Is Not Your Sandbox
Samuel Colvin
Your agent needs a sandbox, not a desert
Abhishek Bhardwaj
From fork() to Fleet: Designing an Agent Sandbox Cloud Pt 1
Abhishek Bhardwaj
From fork() to Fleet: Designing an Agent Sandbox Cloud Pt2
Kevin Orellana
1,000 Agent Tasks in a Sandbox: What Breaks When LLMs Write and Run Code
Adi Singh
The Next Trillion Users of the Internet Still Don't Have an Identity
Robert Brennan
Sandboxes Aren't Optional: Runtime Isolation Patterns for Coding Agents at Scale
Jonathan Kelley
Building ambitious software
Christopher Manning
Building the simulation infrastructure for practical world model use
Christopher Manning
Building the simulation infrastructure for practical world model use (Part 2)
Jason Ma
Commercial Grade-Robots for Real World Usage
XiangMing Sun
Unitree: Building Mass Produced Humanoids
Deepak Pathak
Frontier Robotics Research
Suchet Bargoti
From Manual Drones to Autonomous Multi-Agent Missions
Cormac Brick
Why Large? Tiny LMs & Agents on Edge/Robotics
Amit Navindgi
From Self-Driving Monorepo to Self-Driving Cars
Cyrus Clarke
I gave an AI a body
Parth Asawa
Beyond Static Intelligence: Evaluating Continual Learning
Ronak Malde
Scaling up Continual Learning
Jack Morris
Scaling Compute on Context
Yu Su
Intelligence + Continual Learning = Expertise
Sara Hooker
Adaption Labs — Gradient-Free Continual Learning
Vivek Trivedy
Improving Agents is a Data Mining Problem
Samuel Denton
Bringing Continual Learning into Enterprises
Ben Hylak
Designing Agents (The Floor Is the Frontier)
Shlok Khemani
Lessons from Studying Every Memory System
Ben Holmes
LLM Knowledge Bases: a practical guide
Thor 雷神 Schaeff
Build realtime multimodal agents with Gemini Live
Thor 雷神 Schaeff
Build realtime multimodal agents with Gemini Live (continued 2)
Thor 雷神 Schaeff
Build realtime multimodal agents with Gemini Live (continued 3)
Thor 雷神 Schaeff
Build realtime multimodal agents with Gemini Live (continued 4)
John Lindquist
The Agentic Power User's Playbook: Tips and Tricks for Swarm-Style Agentic Development
John Lindquist
The Agentic Power User's Playbook: Tips and Tricks for Swarm-Style Agentic Development (continued 2)
John Lindquist
The Agentic Power User's Playbook: Tips and Tricks for Swarm-Style Agentic Development (continued 3)
Brian Douglas & John McBride
Don't Write Skills, Train Models
Brian Douglas
Don't Write Skills, Train Models (cont. 2/3)
Brian Douglas
Don't Write Skills, Train Models (cont. 3/3)
Lukas Petersson
Vending-Bench: Long-Horizon Agent Evals for a Simulated Vending Business
Jason Lopatecki
From Signal to PR: Anatomy of a Self-Improving Agent
Soumya Gupta & Jai Chopra
Building Closed-Loop Evals for a Multimodal Agent at Uber Scale
Rustem Feyzkhanov
From Agent Traces to Agent Simulations: The next era of agent evaluation
Chris Souza & Preetika Bhateja & Daniel Bump
Model Whisperers: How Evals and Prompts Shape Agent Behavior
Maor Bril
Evaling Video Slop
Mihnea Munteanu
Ask YouTube — Open Q&A
Akele Reed & Dave Revere & Doug Keller
Evals Driven-Development: Engineering a Mental Health AI Coach Ethically & Safely
Philipp Schmid
Don't Ship Skills Without Evals
Alex Shaw & Ryan Marten
Everything Is a Rollout
Geoffrey Litt
Understanding is the new bottleneck
Max Drake
The Spatial Harness: Bringing Agents to the Canvas
Jonathan Gordon
The Design-Code Roundtrip That Isn't
Maximillian Piras
Mousepower: agents that can’t be measured, can’t be managed.
Paul Bakaus
Design at the Speed of Adjectives
Thais Castello Branco
Training Taste
Eve Bouffard
Imagination Engineering
Hassan El Mghari
The Missing Layer: Design Taste in AI Agents // Stop Letting Your Agents Ship Ugly UIs
Jeremiah Lowin
Generative UI... in Python?
Vincent Wendy
One Designer + Al. Hundreds of Deliverables.
Dhruv Batra
Computer-use models will agentify the web, not APIs
Pierluca D'Oro
Computer Use at the Edge of the Statistical Precipice
Paul Klein IV
Bringing agents onto the world wide web
Corey Gallon
The Dark Arts of Web Automation: Teaching Agents to Use Websites Like Humans
Gaurav Mishra
From RL to IRL
Omer Primor
The Rise of CaaS: Context-as-a-Service for Agentic AI
Francesco Bonacci & Dillon DuPont
Computer-Use 2.0: Agents Just Got Multi-Cursor
Ishan Anand
Will AI predict people like we predict the weather? (alternate title “A field guide to synthetic personas for market research”)
Patricija Žemaitytė
How Web Data Infrastructure Powers the Next Generation of AI
Averi Kitsch & Prerna Kakkar
Build-Time vs. Run-Time: Why Your Dev Tools Will Fail in Production
Kevin Madura
It’s Tokens All The Way Down: How RLMs are Different
Ajay Prakash
500 Skills, Zero Fine-Tuning: LinkedIn's Playbook for AI Agents That Actually Know Your Codebase
Brandon Waselnuk
Your agents lack context: Here's how to fix "You're absolutely right!"
Laurie Voss
How long can your skills be before your agent forgets what you told it?
Prukalpa Sankar
WTF Is the Context Layer? The Missing Infrastructure for Production Agents
Liad Yosef & Ido Salomon
MCP Apps - Extending the frontier
Dustin Mihalik
MCP Apps: Give the Model Data, Give the User a UI
Cornelia Davis
MCP Tasks (async)/ Why the heck aren't any agents supporting MCP tasks/async?
Alex Hancock
The Universal Remote Control for AI
Diogo Almeida
What's next after RLHF?
Sean Cai
State of Data
Uri Rolls & Thom Wolf
Training Frontier Models to Out-Think Hackers
Raymond Feng
Learning on the job: the future of post-training
Will Brown
Reinforcement Learning without Verifiable Rewards
Joseph Wang
Emulated: The data for fully autonomous software engineers and companies
Kenny Workman
LatchBio
Olive Song & Dan Fu
Agents at Scale: Inside MiniMax's Model and the Infrastructure Behind It
Ali Khial
Benchmarks: The Good, the Bad, and the Ugly
Viren Baraiya
Harnessing Agents: The Durable Runtime for Dynamic Workflows
Dan Farrelly
Your agent architecture has a half-life of 6 months
Thorsten Hans
Edge-Native AI: Building Ultra-Fast Agents and MCP Servers with Spin
Ronak Chokshi
Power agents with Microsoft IQ
Alex Campos & Yunmo Koo
Inference performance as a competitive advantage
Abdul Dakkak
Modular: Taming the AI Hardware Cambrian Explosion
Wallon Walusayi
AI Engineering & Governance 2026 Trends
Justin Reock
AI-Assisted Engineering: 5 Trends We're Seeing From 500+ Organizations
Peter Werry
How to generate mergeable code with a context engine
Rishab Kumar
From Stateless to Stateful: Orchestrating Real-Time Voice & Messaging Agents with Twilio and Amazon Bedrock
Cat Wu & Thariq Shihipar & Simon Willison
This Year in Claude
Harald Kirschner
Surviving Your Own Velocity: How VS Code Ships Weekly with 40 People
Gil Feig
Why your company needs a context graph, and how to build it
Kamalakannan Nandagopal
Beyond Code Generation: API Context for Agentic Engineering
Garrett Galow
Building an Agent Harness for the Business, Not the Builder
Dean Quiñanola
AI Applications in a flash! No Dev Ops. Just code.
Dominik Kundel
Building on the Codex Harness
Gabriel Spencer-Harper
Why AI Didn't Actually Make You Ship Faster
Nixon Dinh
The Death of Keyword Search and the Rise of Agent-Readable Catalogs
James Zou
Harnessing Collective Agent Intelligence for Open Science
Philipp Schmid
Why Agents Should Have Their Own Sandbox
Suraj Gupta
Warp: Building Self-Improving Agent Software Factories
Jesse Hall
Latency Is a Budget. Humanlike Is the Goal.
Dylan Couzon
The Frontier Is Coming Home
Elizabeth Fuentes Leone
The Infinite Context Window Is a Myth: Context Engineering for AI Agents
Jetashree Ravi
Stop Renting Intelligence: The Train-to-Deploy Loop for Specialized AI
TBD — Sonar
Redesigning how software gets built
Matt Lawler
FDE Playbook: Build an AI Support Agent and Give It a Voice
Anant Srivastava
Prompt, Memory, Weights: The Architecture Decisions Most AI Teams Make by Accident
Eli Cohen
Continuous Offensive Security the only approach in an agent-first world
Tarun Sunkaraneni
Ray Actors, Vision Tokens, and the GIL: Engineering an SFT Data Pipeline That Keeps GPUs Busy
Martin Harrysson & Matt Linderman & Prakhar Dixit
Tokenomics: From AI Spend to AI Value
Varun Shenoy
How do you diffuse AI into the real world?
Andrew Garvin
How to avoid disaster when vibe-coding a billing engine
Varun Pant
Your Code Has Bugs. Lean4 Has Proofs. A Practical Guide to Formal Verification for Engineers
Imad Touil
AI-Native Organisations runs on Skills: How to Extract, Structure, evaluate and Scale Them
Ben Kus
The Half Life of Agent Infrastructure
Rachna Srivastava
Guardians of the State: How We Built an Air-Gapped AI Fortress for Consumer Data
Mingsheng Hong
From Tokenmaxxing to Trusted Throughput
Roberto Milev & Uday Kanagala
Agents Are Where Microservices Were in 2015. We're Making All the Same Mistakes.
Carlos Sanchez
Agentic Sites: Building Hyper Personalized Websites
Rania Khalaf
The Chief AI Officer: A framework for the emerging Swiss Army Knife of roles
Alex Volkov
The Z/L Continuum: Should AI Engineers Still Read Code?
Vlad Luzin
Is Orchestration the Future?
Ankit Jain
How to Kill the Code Review
Laurie Voss
The Death of the Code Review
Nicholas Arcolano
Tokenmaxxing is the New "Lines of Code"
Matthew Jewkes
Engineering Agency out of the Happy Path
Keiji Kanazawa
I Let Agents Refactor My Codebase for 3 Weeks. Then I Read the Code.
Tomás Hernando Kofman
Intelligent Model Routing: Frontier Performance Without Frontier Bills
David Corbitt
Inference is the New Training Loop: Architecting High-Reliability Agents and Continuous AI Systems
Justin Reock
The state of AI in software development: Insights across 400+ organizations
Thariq Shihipar
Field Guide to Fable
Tariq Shaukat
In the Land of AI Agents, the Verifiers Are King
Antje Barth
Perception Agents
Benoit Schillings
Research to Reality with Google DeepMind
Laurie Voss & Aparna Dhinakaran
Evals Track Intro
Richard Socher
First Steps Toward Automated AI Research
Han Xiao
Autoresearch for Dense Retrieval: Test-Time Compute with Frozen Embedding Models
Stefania Druga
Memory Harnesses for Long-Running Research Agents
Elie Bakouch
« the era of (auto) research »
Dumitru Erhan & Shane Gu & Nicole Brichtova & swyx
SOTA Generative Media Panel
Tim Sweeney
Closing the Loop: An Autonomous AI Research Agent
Zhengyao Jiang
An AI Agent Became the #1 Contributor in OpenAI's Hiring Challenge
Lakshya Agrawal
Self-Improvement of Context, Harness, and Model Weights through Reflective Optimization
Tejas Bhakta
Autoresearch for Kernels
Roland Gavrilescu & Julian Bright
Autoresearch in the wild
Erina Karati & Arunachalam Manikandan
Autoresearch in a Multi-Agent AI Village
Addy Osmani
Closing Keynote
George Cameron & Micah Hill-Smith
Trends in AI
Wei-Lin Chiang
Closing Keynote
Pamela Fox
Diagnosing agent failures in production
Chang Liu
Tracing and debugging agents across systems with OpenTelemetry
Ross Wollman
Benchmarking VS Code with VSC-Bench: How to measure agent performance
Tina Manghnani
Design multi-agent systems that actually work
Chang Liu
Evaluating and optimizing AI agents: from observability to continuous improvement
Arun Sekhar
Blast Radius Zero: One‑Command OpenClaw Sandboxes in the Cloud
Ashu Joshi
Operate agents safely at scale with enterprise governance
Sangwu Lee
Training Krea 2 - What matters in generative model training.
James Russo
HTML Is All Agents Need
Ekaterina Deyneka
Building an Agentic Video Editor for Mass Consumer
Arturo Nunez
The Next Game Engine Won't Have a Manual
Todd Fisher
While my guitar gently speaks
Lina Colucci
Voice agents with Realtime Video
Keegan McCallum
Generative Video at the Speed of Light
Gabriel
Infra behind Krea 2 - How to train and serve at scale
Ahmed Ahres
The Next Medium: Why Real-Time Interactive Video Changes Everything for Developers
Nidhi Kaushik Vyas
Designing Multimodal Collaborative Agents for Next-Gen Commerce
Harshal Bhangale
Why Your AI Agent Needs a Wallet: Agentic commerce on Arc with USDC and Nanopayments
Anil Nadiminti
When AI Agents Pay and Sellers Monetize: Building x402 Apps for Agentic Commerce on AWS
Jan Curn
x402 isn’t good (yet)
Rodrigo Coelho & Pranav Maheshwari
Agent Spending Without Controls: The Missing Infrastructure Layer for AI Pa…
Anna Spysz
Teaching agents to pay
Ahnaf Prio
The Agentic Commerce Stack
Jay Mok
Your Agent Just Authorized What?!
Gus Iwanaga
The End of the Static Screen: Architecting Intent-Driven UX with Agentic Orchestration
David Levine
Beyond the Lethal Trifecta: Agentic Commerce on the Open Internet at Machine Speed
Brendan Rappazzo
ALPHALAB: Autonomous Multi-Agent Research Across Optimization Domains with Frontier LLMs
Udi Menkes
Why Off-the-Shelf AI Doesn't Understand Money
Divakar Kumar
Let's integrate AI Agents in Event-Sourced Systems
Vinoo Ganesh
How Kepler Built Verifiable AI for Financial Services
Shawn Chan
Build for the Memo, Not the Demo — Notes from 200 Investment Committees
Lucas Palma
We Vetted 2,000 AI Skills Before They Reached Developers
Ramana Siddanth Emani
Your Finance Agent's Bottleneck Is You
Shreya Rajpal & Aman Gupta
Simulation-Maxxing: How Nubank ships agents 20× faster with simulations
Yogendra Miraje
Skills are new features: Building Skill-Centric Harness for Agentic Products
Sai Krishna Rallabandi
Wearing the Agent: Engineering a Family-and-Friends Personal Agent, from Group Chats to Glasses
Nader Khalil & Joseph Nelson & Alex Cheema & Ahmad Osman & Matthew Berman
State of the Union: Why Local, Why Now
Nader Khalil & Joseph Nelson & Alex Cheema & Ahmad Osman & Matthew Berman
State of the Union: Why Local, Why Now
Ahmad Osman
Demo: GLM 5.2 on DGX Station — Frontier Intelligence Under Your Desk
Carter Abdallah & Vincent Weisser & Lucas Atkins & Chris Alexiuk
Local Models: Trust, Control, Optimization
Carter Abdallah & Vincent Weisser & Lucas Atkins & Chris Alexiuk
Local Models: Trust, Control, Optimization
Chris Alexiuk & Daniel Han & Asma Beevi & Merve Noyan & Parth Sareen
Compression at the Edge
Chris Alexiuk & Daniel Han & Asma Beevi & Merve Noyan & Parth Sareen
Compression at the Edge
Nader Khalil & Walden Yan & Tanay Varshney & Alex Atallah
Model Routing
Nader Khalil & Walden Yan & Tanay Varshney & Alex Atallah
Model Routing
Stephen Chin
CrabRAG: Why Automated Assistants Need Graph Memory, Not More Tokens
Yohei Nakajima
Active Graph Agent Runtime (BabyAGI 4)
Mike Phipps
Your Moat Is Your Data Model
Omri Bruchim
From Systems of Record to Systems of Context
Ritvik Pandya
AI : Learned Execution Graphs for Real-Time Anomaly Detection & Drift Classification in APIs
Frank Coyle
Why Agentic Systems Need Ontologies
James Le
Video Has No Memory. Here's How We Built One.
Shafik Quoraishee & Joanne Song
On-Device Agentic AI for the New York Times Games
Daniel Chalef
Citation Needed: Provenance for LLM-Built Knowledge Graphs
Subbiah Sethuraman & Abhilash Asokan
Why We Killed Our Multi-Agent Pipeline: Lessons From Pharma Commercial Intelligence
Everett Berry
GTM Engineering: The Technical Bits
Aliisa Rosenthal
Reverse-Engineering the AI Buyer
Flora Liu
AI in GTM at Notion
Arman Vaziri
The Building Blocks of GTM Orchestration
Alex Bauer
How Juries and Librarians Can Solve GTM's AI Trust Problem
Christopher Burns
How We Got LLMs to Recommend Our Open Source Library (Without Paying or Plug-ins)
Jeffrey Wang
Knowledge Systems: The New GTM Stack
Justin Joyce
How AI Agents Let GTM Teams Scale
Sait Izmit
Building GTM AI Agents: Lessons from Deploying to 6,000 Users
Stephanie Jarmak
The Death of Developer Advocates
Chaitanya Asawa
From Ambient Documentation to Clinical Intelligence
Rashi Agrawal
Guardrails First: Engineering Member-Facing Health AI
Jared Joselowitz
Shipping AI to a Million Patients Without an A/B Test
Vivek Muppalla
200 Million Patient Interactions Later: What the Generic Voice Stack Misses
Clay Cockrell & Tony Fabrikant
Al is becoming the World's largest Relationship Therapist. We Can't Afford to Get it Wrong.
Vasant Kearney
Healthcare’s Agent Bytecode: X12 as the Harness for AI Agents
Ayush Bhardwaj
Trading Desks to Clinical Trials: Parallels in Applied Vertical AI
Dan Feng
How to build an AI-Native Health Company
Anuj Iravane
Don't be data poor
Christopher Lovejoy & Saul Howard
Why Your Enterprise Tech Stack Isn't Ready for AI Agents - And What to Build Instead
Serena Ge
DeepSWE: expert code datasets
Frank Coyle
Anthropic's CCA Exam as a Field-Guide for Agentic Engineering
Anirban Chatterjee
Guide, Verify, Solve: The Engineering Discipline Agentic Development Demands
Denys Linkov
Benchmarking Coding Agents on New vs Legacy Code bases
Dominik Kundel
Codex, Behind the Harness
Arjun Singh
Multiplayer agentic engineering: enabling your whole team and your best agents to work together
Justin Smith
Always-on agents run production without the on-call tax
Idan Gazit
Realtime multiplayer, automation, and you!
Matt Dailey
Velocity Sickness: What Happens When Your Whole Team Gets 10x Faster
Saoud Rizwan
Open Source Is Dead. Long Live Open Source.
Nishant Gupta & Naman Ahuja
Operating Distributed Inference Systems at Scale
Qianru Lao & Lu Zhang
Routing LLM Inference in Production: From Engine Signals to Policy
Ashok Chandrasekar & Jason Kramberger
Are LLM Performance Benchmarks Reliable?
Rita Zhang & Sitanshu Gupta
Vertical Mobility: Building an AI Inference Platform That Scales from MVP to Trillion-Parameter Workloads
Philip Kiely
What's New in Inference Engineering
Daniel Svonava
Large clusters for small models
Byung-Gon (Gon) Chun
The Frontier AI Inference Cloud for Agents
Yuchen Fama & Ashish Kamra
KV Cache-Aware Routing and P/D Disaggregation on Kubernetes: The Parts Public Benchmarks Don't Show
Asaf Gardin & Yuval Belfer
Two Bugs That Hid in Plain Sight: A vLLM Debugging Detective Story
Filip Makraduli
Weight Folding, CUDA Streams, and the Bug That Made My Model Speak Backwards
Wallon Walusayi
AI Engineering & Governance 2026 Trends
Peter Werry
Beyond RAG: See a relational context engine reduce token burn
Miguel González Fernández & Corby Rosset
The Art of Building Verifiers for Computer Use Agents
Giedrius Steimantas
The Missing Layer in Agentic AI
Michael Liendo
Trust, But Verify: Human-in-the-Loop for Agents That Actually Matter
Sujee Maniyam & Dylan Bristot
Optimizing Open Models for Production Grade Inference
Dru Knox
Harness Engineering: The New Core Skill for Agentic Developers
Karthik Ranganathan & Heather Downing
Agent Memory Is a Solved Problem. Agent Learning Is Not.
Nan Jiang
Taking Reinforcement Learning Cross Datacenter
Willem Pienaar
Your Agent Can't Tell If It's Right
Zubin Aysola
ARIA, how we built autoresearch with autoresearch
Sheilah Kirui
Seeing the Plumbing: Profiling vLLM Speculative Decoding on NVIDIA Blackwell
Ali Adl-Tabatabai
While You Were Generating: The Verification Gap Nobody Talked About
swyx & Rob Wachen
Latent Space Live: the Inference Inflection from First Principles
Rowan Christmas
YOLO Mode, Safely: microVM Sandboxes for Any Agent
Jan Curn
MCP doesn’t suck — your agent does
swyx
Improving AIE: Q&A and Feedback Session
swyx
Improving AIE: Q&A and Feedback Session (repeat)
Sarah Simionescu
Dashboards are Dead
Ryan Cooke
No, That's Not a Software Factory
Michael Patterson
The Lethal Trifecta Is Already on Your Developers' Laptops
Kwindla Kramer & Neil Zeghidour
Voice is the universal interface
Ben Dicken
Move fast and (don’t) break things
Joshua Mo
Your Model is Private. Your System Isn't.
Melanie Warrick
The Human Is an Async API
Jeremy Adams
Small Claws Are Beautiful: Edge Agents with NanoClaw, Raspberry Pi, and Graph Memory
Ivan Leo
An Interaction Is All You Need
Matt Gibiec
Your AI Agent Has No Nervous System
Jake Broekhuizen
The Next Run Should Be Better
Sandhya Subramani
Agents That Forge Their Own Tools: Self-Modifying AI in the Wild
Rafael Levi
Video Discovery for Agentic World-Model Training
George He
Everyone talks about document search, but what about results?
Remy Guercio
An AI Future Without the Lock-In
Martin Harrysson & Matt Linderman & Prakhar Dixit
The Agentic Product Development Organization
Jennifer Lee
Building safe payment infrastructure for machine-to-machine commerce
Dmitry Buykin
Tribal Dungeons of Global Shipping: AI Agents at Global Scale
Daniel Kim & Michelle Nguyen
All the Things We Have to Do to Satisfy Your Insatiable Need for Tokens
Pranay Bhatia
Stop Model Shopping: Why Ownership Beats Choice in the Agent Stack
Josh Leavitt
From Zero to AI-Native: Scaling AI Across the Org
Brian Lewis
Which AI startups actually land enterprise contracts? Lessons from evaluating 100+ AI startups at Millennium Management
Kunal Lanjewar
Your Hero Agent Needs a Party
Salman Munaf
AI Agents Are Just Distributed Systems Now
Lena Hall
The Signal Layer: What to Build When Anything Can Be Built
Sandhya Subramani
Tell the Robot What You Want
Safia Abdalla
The Agent Behind the Curtain: Building the Oz Cloud Agent Platform
Tisha Chawla & Susheem Koul
FinOps for AI Agents: Who Spent All the Tokens?
Khaled Alashmouny & Abduallah Mohamed
What If Your Chip Design Team Moved Like a Single Body?
Archana Kamath & Tyler Gillam
Preferences > Benchmarks: Model Routing for How Teams Actually Build
Patrick Debois
Coding Agents Don't Scale Themselves. Neither Do Your Teams.The Rise of Agent Enablement.
Rémi Louf
Agent Frameworks Considered Harmful
Sebastian Fox
Inside 847 Production Clinical AI Notes
Sachin Malhotra
Give the Agent a Budget, Not a Token
Barr Yaron
The 2026 State of AI Engineering
John Ousterhout
TCP and RDMA are Killing Inference Throughput; Homa can Fix It
Maxime Rivest & Isaac Miller
The Unreasonable Effectiveness of Separating the Task from the Model
Mike Krieger & swyx
How Anthropic Builds: Lessons from Labs
Emil Eifrem
Thinner Agents on a Smarter Substrate: The Ontology-based Semantic Layer
Katelyn Lesse & Angela Jiang
Tokens Should Have Jobs
Nikita Kothari
MCPs, CLIs, and Skills: Choosing the Right Tooling Layer for Agentic Development
Michael Grinich
Auth for Agents: Unblock Autonomous AI with auth.md
Mike Chambers
Harness Engineering: Building the Production Cage for Powerful Domain Agents
Dex Horthy & Ian Livingstone & Allie Howe
The Great Loops Debate
Brendan Rappazzo
Loophole - Adversarial Agents To Stress Test Your Morality
Giselle van Dongen
🎵 Every step you take, every call you make - the reliable agent stack
Sarah Sanders
We let an AI agent execute Bash and lived to talk about it
Kay Malcolm
No Memory, No Harness: Why the Database Is the Last Line of Defense
Andrew Qu
How we Solved Agent Building
Philipp Schmid
Agents Without Code: How Skills, YAML, and Filesystems Replaced Python
Theo Browne
Closing Keynote — Theo Browne
Garry Tan
Closing Keynote: Garry Tan
Howie Liu & Joshua Xu & swyx
Startup Battlefield
Howie Liu
$100,000 AIE Startup Battlefield — presented by Hyperagent
Theo Browne
AMA with Theo Browne (@t3.gg)
Thursday, July 2, 2026
11:00am-11:15am
TRACK 1 / ROOM XXXX: TRACK NAME
Talk Title
Speaker Name
Title · Company
Card Details
Talk Title
Title Font Size
140px
48px
Reset to auto
160px
Speaker Name
Job Title · Company
Day
Time
Track Info
Speaker Photo
Upload Photo
Track Mascot Image
Auto-selected based on track. Upload to replace.
Upload Custom Image
Download as PNG