The talk archive.

Generation Is Cheap, Review Is Expensive: How to Stop Shipping AI Slop — Gabriel Martinez, G2i

Gabriel Martinez

Engineering judgment · Code review and verification · Code maintainability

From Vibes to Production: Evaluating and Shipping AI Agents That Work 201 — Laurie Voss, Arize AI

Laurie Voss

Observability and reliability · Evals · Coding agents

Latency Is a Budget. Humanlike Is the Goal. — Jesse Hall, LiveKit

Jesse Hall

Speech and audio · Agent engineering · Interaction latency

The 5 Levels of Self-Driving Production — Eric Schwartz, Traversal

Eric Schwartz

Observability and reliability · Coding agents · Enterprise

How Anthropic Builds: Lessons from Labs — Mike Krieger, Anthropic

Mike Krieger

Building uReview, Uber’s Multi-Agent Code Review Engine — Will Bond & Ameya Ketkar, Uber

Will Bond · Ameya Ketkar

The 6 Pillars of an Agentic Harness for Production — Varun Krovvidi, Resolve AI

Varun Krovvidi

Agent engineering · Self-driving production · Observability and reliability

Harness Engineering: How to Build a Software Factory — Dru Knox, Tessl

Dru Knox

Software factory architecture · Agent engineering · Skill improvement loops

Scale the Judgment, Not the Model — Andrew Orobator, Reddit

Andrew Orobator

The Best Models Still Reason Like Toddlers — Andrew Dai, Elorian

Andrew Dai

Your LLM Judge Is a Confident Liar: Building Better Verifiers — Browserbase

Miguel González Fernández · Corby Rosset

Evals · Agent engineering · Task-specific rubrics

Why AI Agents Should Have Their Own Sandbox — Philipp Schmid, Google DeepMind

Philipp Schmid

Agent engineering · APIs, MCP, and protocols · Sandbox lifecycle

Agents' next frontier: agent-to-agent and network effects — Jean-Denis Greze, Town

Jean-Denis Greze

Inside 847 Production Clinical AI Notes — Sebastian Fox, Composo

Sebastian Fox

How a Remote Company Builds AI Fluency — Em Shreve, Automattic

Em Shreve

AI enablement · Peer learning · AI adoption metrics

Physical AI's Next Bottleneck Is Finding the Right Video — Rafael Levi, Bright Data

Rafael Levi

Agentic Sites: Building Hyper Personalized Websites — Carlos Sanchez, Adobe

Carlos Sanchez

Get Out of the Model's Way — Kevin Hou, Google DeepMind

Kevin Hou

Agentic coding · Scaling with intelligence · Agent orchestration

Robotics Has Been Stuck for 70 Years — Deepak Pathak, Skild AI

Deepak Pathak

Can LLMs Write Fast Multi-GPU Kernels? — Simran Arora, Together AI

Simran Arora

How AI Agents Let GTM Teams Scale — Justin Joyce, Cloudflare

Justin Joyce

We Mapped 115 Microservices for Our Coding Agents — Kamalakannan Nandagopal, Postman

Kamalakannan Nandagopal

Coding agents · APIs, MCP, and protocols · RAG, context, and search

Agents That Write Their Own Tools at Runtime — Sandhya Subramani, AWS

Sandhya Subramani

Agent engineering · Runtime tool generation · Dynamic subagents

Homa: The End of TCP for AI Clusters — John Ousterhout, Stanford

John Ousterhout

AI inference networking · GPU synchronization and tail latency · Incast

Multimodal Collaborative Agents for Next-Gen Commerce — Nidhi Kaushik Vyas, Google DeepMind

Nidhi Kaushik Vyas

How Many Credentials Should Your AI Agent Have? Zero. — Jim Clark, Docker

Jim Clark

Safety and governance · Agent permission systems · APIs, MCP, and protocols

How do you diffuse AI into the real world? — Varun Shenoy, Long Lake

Varun Shenoy

Teaching agents to pay — Anna Spysz, Stripe

Anna Spysz

Tethered: Our Agents Are Us — Shu Fang, Two Sigma

Shu Fang

Turning Agent Memory Into Skills That Work — Will Lyon, Neo4j

William Lyon

Agent engineering · RAG and knowledge systems · Agent memory

When AI Agents Pay and Sellers Monetize: Building x402 Apps on AWS — Anil Nadiminti, AWS

Anil Nadiminti

How to Generate Mergeable Code with a Context Engine — Peter Werry, Unblocked

Peter Werry

Robot Demos Are Easy. Reliability Is Hard — Jason Ma, Dyna Robotics

Jason Ma

Software Engineering Is Becoming Factory Engineering — Zach Lloyd, Warp

Zach Lloyd

Self-improving software factories · Factory engineering · Open-source ecosystems

AI Coding Agents Are Breaking Big Codebases — Dan Adler, Sourcegraph

Dan Adler

Coding agents · Code maintainability · Enterprise

Weight Folding, CUDA Streams, and the Bug That Made My Model Speak Backwards — Filip Makraduli

Filip Makraduli