Portrait
Landscape
Trading Card
Laurie Voss
From Vibes to Production: Evaluating and Shipping AI Agents That Work 101
Tejas Kumar
Your Evals Are Lying to You
Laurie Voss
From Vibes to Production: Evaluating and Shipping AI Agents That Work 201
Ang Li
Reliable Computer Use Agents require coding
Nick Nisi
Lifestyles of the AI-Native: Voice-coding, agent skills, hooks and scheduled tasks
Zack Proser
Lifestyles of the AI-Native: Voice-coding, agent skills, hooks and scheduled tasks
Charlie Guo
Cooking with Codex
Gabriel Chua
Cooking with Codex
Matt Brockman
How I learned to stop worrying and love the sandbox
Harshul Jain
2 hr deep dive on LLM Inference at Scale — Part 1 of 2
Harshul Jain
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
The best SDLC is the one you build yourself: Why orchestration changes everything
Andrei Bocan
The best SDLC is the one you build yourself: Why orchestration changes everything
Kent C. Dodds
Build the Right Thing: Product Engineering for Software Developers
Kent C. Dodds
Build the Right Thing: Product Engineering for Software Developers — Part 2
Justin Lebar
AI Infrastructure from the Ground Up
Shubhankar Srivastava
Hill-climbing Skills: How to Improve Agents Without Touching the Model
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
Build a Platform, Unleash an Agent on it.... and Watch it Burn!
Bereket Engida
Agent Auth
Paola Estefania
Agent Auth
Ignacio Martinez
Total Recall: Agent Memory and Harness Engineering
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
Dan Ndombe
From approval loops to autonomous agents with Docker
Zain Hasan
Open-Source Inference Engineering for the Agentic Era
Yubo Wang
Open-Source Inference Engineering for the Agentic Era
Qingyang Wu
Open-Source Inference Engineering for the Agentic Era
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
Build with Perception Agents
Shruti Arora
Build with Perception Agents
Doug Ghutrie
Advanced workshop: Mastering AI Observability
TBD — ClickHouse / Langfuse speaker
From 0 to production: Observing and improving AI agents with Langfuse
Elizabeth Fuentes Leone
Agent Speedrun: Idea → Code → Deploy → Observe, Fix → Ship
Sandhya Subramani
Agent Speedrun: Idea → Code → Deploy → Observe, Fix → Ship
Paul Bakaus
The Dark Arts of Skill Engineering
Zhengyao Jiang
Hands-on AutoResearch: Cracking OpenAI's Parameter Golf
Mark Lummus
Burn your flags: How PayPal designs interactive CLI tools for agents
Navinkumar Patil
Burn your flags: How PayPal designs interactive CLI tools for agents
Vinoth Govindarajan
Your Agent Didn’t Fail. Your Harness Did.
Ryan Dahl
The OS runtime personal agents need
Kenton Varda
Gadgets: Personal app vibe coding that is actually safe
Shu Fang
Tethered: Our Agents Are Us
Jean-Denis Greze
Agents' next frontier: agent-to-agent and network effects
Eric Zhu
QwenPaw: building AI that you can trust
Ben Guo
Everyone Gets A Software Company
Rob Cheung
Everyone Gets A Software Company
Sam Bhagwat
Every Harness Will Become A Claw
Joseph Nelson
TBD — Joseph Nelson (Roboflow)
Jerry Liu
HOLD — Jerry Liu / LlamaParse: Vision & OCR
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
TBD — Reducto
From Ingestion to Agents: How Leading AI Teams Build on Document Intelligence
Krishna Srinivasan
From Scratch to SOTA: Training a 3B State-Space Vision Model for 1.4 Billion People
Cody Menefee
You’re Not Thinking Big Enough: Rebuilding Food Systems from First Principles with AI Agents
Andrew Dai
The Best Models Still Reason Like Toddlers
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
Benjamin Clavié
If we want them to do Knowledge Work, we need to design Knowledge Agents
Simon Eskildsen
How to Connect AI to Billions of Legal Documents
Jacob Lauritzen
How to Connect AI to Billions of Legal Documents
Hiral Shah
Your Agreements Are a Database You Can't Query. We're Fixing That
Sean Sodha
Your Agreements Are a Database You Can't Query. We're Fixing That
Priyanka Phatak
Claude Managed Agents Workshop
Priyanka Phatak
Claude Managed Agents workshop
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
Ezra Tanzer
Agentic Development Security
Ethan Cha
Dual-Surface Architecture: Serving Humans and Agents from the Same Tool Layer
Lovina Dmello
Your LLM Stack Is a 2008 Database With Better Marketing: Why ML Security Is Dominated by Misconfiguration, Not Missing Features
Kim Maida
It's 10pm. Do You Know Where Your Agents Are?
Moritz Johner
We Gave an Agent Production Code Access and Then Tried to Sleep at Night
Eugene Yan
Using LLMs to Secure Source Code
Aaron Stanley
AI’s Jurassic Park Period
Fouad Matin
OpenAI Cyber talk
Kwindla Kramer
The New Primitives: Building AI-Native Software
Valeria Wu
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 Rambles
Tolan: Voice-First AI Companion
Vyas A
5 Voice Agent Failure Modes You'll Hit in Week One
Sumanyu Sharma
I Monitored Crime Audio. Voice Agents Scare Me More.
Bo Li
Realtime Voice Agents with Frontier Intelligence
Midam Kim
"My name is... my name is...": A Linguistic Framework for Debugging Voice AI Failures
Amit Desai
The Goldilocks problem: when your Robot asks too much — or acts too soon.
Sean Cai
State of Data
Deniz Birlikci
FrontierCode needs Frontier Data Quality
Sam Lee
FrontierCode needs Frontier Data Quality
Rayan Garg
Theta Software
Varun Singh
The Base Model is Dead
Ross Taylor
General Reasoning for Long-Horizon Agent Models
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
Agentic SDLC at Uber
Neha Singhal
Scaling Code Quality: Building uReview, Uber’s Multi-Agent Code Review Engine
Nachiket Paranjape
AI Evals Platform for Cross-Functional Teams at Scale
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)
Oscar Mullin
AI-transforming 18K engineers, 40K repos, and an agent swarm: what worked, what didn't
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
Aman Raj
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
Alexander Embiricos
Opening Keynote: Topic TBD
Romain Huet
Opening Keynote: Topic TBD
Thom Wolf
Thom Wolf keynote
Zixuan Li
GLM-5.2: Frontier Intelligence, Open Weights.
Jason Liu
Codex Maxxing
Tereza Tížková
Rise of the Software Factory
Charlie Holtz
Everything is Conductor
Thomas Dohmke
What is the future of the SDLC?
Boris Cherny
Fireside Chat: Claude Code with Thariq Shihipar
Cat Wu
Fireside Chat: Claude Code with Thariq Shihipar
Thariq Shihipar
Fireside Chat: Claude Code with Thariq Shihipar
Zach Lloyd
Self-Improving software factories: The new open source model"
Andrew Orobator
Spin at the Gate Until Green: The Engineering Primitives Behind Self-Driving Codebases
Daksh Gupta
What we learned by analyzing 1M AI-generated PRs
Lee Robinson
The Future of Cursor
Vaibhav Gupta
fighting slop with slop
Dex Horthy
Scaling coding agents across an entire team
Erik Meijer
In Code They Act, In Proof We Trust
Shashank Goyal
TBD — OpenRouter / Sandbox & Platform Engineering
Ivan Burazin
Kubernetes Is Not Your Sandbox
Samuel Colvin
Your agent needs a sandbox, not a desert
Abhishek Bhardwaj
TBD — Secure Sandboxes for AI Agents
Abhishek Bhardwaj
TBD — Abhishek Bhardwaj (Part 2)
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
Christopher Manning
Building the simulation infrastructure for practical world model use
Sandhya Subramani
Tell the Robot What You Want
Deepak Pathak
Frontier Robotics Research
Juraj Kabzan
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
Continual Learning Bench
Ronak Malde
Scaling up Continual Learning
Jack Morris
Scaling Compute on Context
Vivek Trivedy
Improving Agents is a Data Mining Problem
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
Don't Write Skills, Train Models
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)
Andon Labs
Vending-Bench: Long-Horizon Agent Evals for a Simulated Vending Business
Jason Lopatecki
From Alert to PR: Building an Autonomous Agent Debugger
Chris Souza
Model Whisperers: How Evals and Prompts Shape Agent Behavior
Preetika Bhateja
Model Whisperers: How Evals and Prompts Shape Agent Behavior
Daniel Bump
Model Whisperers: How Evals and Prompts Shape Agent Behavior
Maor Bril
Evaling Video Slop
Akele Reed
Evals Driven-Development: Engineering a Mental Health AI Coach Ethically & Safely
Dave Revere
Evals Driven-Development: Engineering a Mental Health AI Coach Ethically & Safely
Doug Keller
Evals Driven-Development: Engineering a Mental Health AI Coach Ethically & Safely
Ishan Anand
Will AI predict people like we predict the weather? (alternate title “A field guide to synthetic personas for market research”)
Geoffrey Litt
On Malleable Software
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
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
Designing for AIE
Pierluca D'Oro
Computer Use at the Edge of the Statistical Precipice
Corey Gallon
The Dark Arts of Web Automation: Teaching Agents to Use Websites Like Humans
Paul Klein IV
Bringing agents onto the world wide web
Gaurav Mishra
From RL to IRL
Francesco Bonacci
Computer-Use 2.0: Agents Just Got Multi-Cursor
Dillon DuPont
Computer-Use 2.0: Agents Just Got Multi-Cursor
Patricija Žemaitytė
How Web Data Infrastructure Powers the Next Generation of AI
Dhruv Batra
What happens when every digital surface is an agent’s playground?
Kurtis Van Gent
Build-Time vs. Run-Time: Why Your Dev Tools Will Fail in Production
Prerna Kakkar
Build-Time vs. Run-Time: Why Your Dev Tools Will Fail in Production
Brandon Waselnuk
Your agents lack context: Here's how to fix "You're absolutely right!"
Yash Patil
Building the AC Context Engine
Liad Yosef
MCP Apps - Extending the frontier
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
Prukalpa Sankar
Cut Through the Context Hype: 4 Layers Your Agent Is Missing
Diogo Almeida
What's next after RLHF?
Olive Song
Agents at Scale: Inside MiniMax's Model and the Infrastructure Behind It
Dan Fu
Agents at Scale: Inside MiniMax's Model and the Infrastructure Behind It
Kenny Workman
LatchBio
Uri Rolls
Arithmetic (fka Operating Intelligence)
Joseph Wang
Emulated.so
Varun Shenoy
Vertical Superintelligence: Making AI Work in America's Messiest Industries
Rasmus Wissmann
Vertical Superintelligence: Making AI Work in America's Messiest Industries
Andrew Garvin
How to avoid disaster when vibe-coding a billing engine
Keiji Kanazawa
I Let Agents Refactor My Codebase for 3 Weeks. Then I Read the Code.
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
Sunita Verma
Dealing with AI's Cost Problem without Sacrificing Innovation
Roberto Milev
Agents Are Where Microservices Were in 2015. We're Making All the Same Mistakes.
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
The Next Inflection Point: ChatGPT, Claude Code, OpenClaw — what's next?
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
Superhuman performance is a shape, not just nines.
Tomás Hernando Kofman
Intelligent Model Routing: Frontier Performance Without Frontier Bills
Kyle Corbitt
Inference is the New Training Loop: Architecting High-Reliability Agents and Continuous AI Systems
Aaron Batillo
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
Seeing like an Agent
Antje Barth
Perception Agents
Tariq Shaukat
In the Land of AI Agents, the Verifiers Are King
Richard Socher
First Steps Toward Automated AI Research
Stefania Druga
Memory Harnesses for Long-Running Research Agents
Elie Bakouch
auto-nanogpt
Tim Sweeney
Closing the Loop: An Autonomous AI Research Agent
Zhengyao Jiang
TBD — Zhengyao Jiang on AutoResearch / FML-Bench
Tejas Bhakta
Autoresearch for Kernels
Roland Gavrilescu
Autoresearch in the wild
Julian Bright
Autoresearch in the wild
Erina Karati
Autoresearch in a Multi-Agent AI Village
Arunachalam Manikandan
Autoresearch in a Multi-Agent AI Village
Tomasz Tunguz
Tokenmaxxing
James Russo
HTML Is All Agents Need
Kate Deyneka
Reelful: AI-generated Reels from photos and clips
Todd Fisher
While my guitar gently speaks
Lina Colucci
Voice agents with Realtime Video
Keegan McCallum
Generative Video at the Speed of Light
Ahmed Ahres
The Next Medium: Why Real-Time Interactive Video Changes Everything for Developers
Brennan Erbz
Beyond Prompts: Building a Multi-Agent Creative Computer That Orchestrates 5+ AI Models in Real-Time
Arturo Nereu
The Next Game Engine Won't Have a Manual
Nidhi 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 Nanopay
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
Agent Spending Without Controls: The Missing Infrastructure Layer for AI Pa…
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
AI Doesn't Understand Money (Yet)
Divakar Kumar
Let's integrate AI Agents in Event-Sourced Systems
Lydia Hallie
Claude Cowork in Finance
Lucas Palma
We Vetted 2,000 AI Skills Before They Reached Developers
Ramana Siddanth Emani
Your Finance Agent's Bottleneck Is You
Yogendra Miraje
It's a Skill Issue : Best practices in building skills that work
Sai Krishna Rallabandi
Wearing the Agent: Engineering a Family-and-Friends Personal Agent, from Group Chats to Glasses
Serena Ge
DeepSWE: expert code datasets
Frank Coyle
Anthropic's CCA Exam as a Field-Guide for Agentic Engineering
Manish Kapur
Guide, Verify, Solve: The Engineering Discipline Agentic Development Demands
Denys Linkov
Benchmarking Coding Agents on New vs Legacy Code bases
Arjun Singh
Multiplayer agentic engineering: enabling your whole team and your best agents to work together
TBD — Resolve AI
What it takes to trust AI that runs production software
Idan Gazit
Realtime multiplayer, automation, and you!
Matt Dailey
Velocity Sickness: What Happens When Your Whole Team Gets 10x Faster
Ara Khan
Making agents you could never make
Everett Berry
Clay: AI in GTM
Stephanie Jarmak
The Death of Developer Advocates
Flora Liu
AI in GTM at Notion
Arman Vaziri
Ramp: AI in GTM
Alex Bauer
The Vibe GTM Iceberg
Christopher Burns
How We Got LLMs to Recommend Our Open Source Library (Without Paying or Plug-ins)
Justin Joyce
Cloudflare AI in GTM with Justin Joyce
Bil Erdenekhuyag
Fin.ai in GTM
Aliisa Rosenthal
Reverse-Engineering the AI Buyer
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 Raju Muppalla
200 Million Patient Interactions Later: What the Generic Voice Stack Misses
Clay Cockrell
AI is the becoming the World's largest Relationship Therapist. We Can't Afford to Get it Wrong.
Tony Fabrikant
AI is the 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
AI Benchmarks for Vertical Industries: Why we're not measuring what we need to and how to unlock real-world ROI
Nishant Gupta
Operating Distributed Inference Systems at Scale
Qianru Lao
Routing LLM Inference in Production: From Engine Signals to Policy
Lu Zhang
Routing LLM Inference in Production: From Engine Signals to Policy
Ashok Chandrasekar
Are LLM Performance Benchmarks Reliable?
Jason Kramberger
Are LLM Performance Benchmarks Reliable?
Rita Zhang
Vertical Mobility: Building an AI Inference Platform That Scales from MVP to Trillion-Parameter Workloads
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
Gavin Uberti
Gavin Uberti — transformer-only ASICs for inference
Yuchen Fama
KV Cache-Aware Routing and P/D Disaggregation on Kubernetes: The Parts Public Benchmarks Don't Show
Michey Mehta
KV Cache-Aware Routing and P/D Disaggregation on Kubernetes: The Parts Public Benchmarks Don't Show
Ashish Kamra
KV Cache-Aware Routing and P/D Disaggregation on Kubernetes: The Parts Public Benchmarks Don't Show
Asaf Gardin
Two Bugs That Hid in Plain Sight: A vLLM Debugging Detective Story
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
Byung-Gon (Gon) Chun
The Frontier AI Inference Cloud for Agents
Jennifer Lee
Building safe payment infrastructure for the autonmous economy
Daniel Kim
All the Things We Have to Do to Satisfy Your Insatiable Need for Tokens
Natalie Serrino
All the Things We Have to Do to Satisfy Your Insatiable Need for Tokens
Lin Qiao
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
Zach Lloyd
Rebuilding the Agent Stack for the Cloud Era
Tisha Chawla
FinOps for AI Agents: Who Spent All the Tokens?
Susheem Koul
FinOps for AI Agents: Who Spent All the Tokens?
Khaled Alashmouny
What If Your Chip Design Team Moved Like a Single Body?
Patrick Debois
Coding Agents Don't Scale Themselves. Neither Do Your Teams.The Rise of Agent Enablement.
Zach Bratun-Glennon
Why your LLM is slow and expensive: lessons learned from running models in production
Zach Bratun-Glennon
Scaling AI systems: where theory meets constraint
Stephen Balaban
Scaling AI systems: where theory meets constraint
Sachin Malhotra
Give the Agent a Budget, Not a Token
Emil Eifrem
Emil Eifrem keynote and Graphs track intro
Matt Pocock
TBD — Matt Pocock keynote
John Ousterhout
TCP and RDMA are Killing Inference Throughput; Homa can Fix It
Dylan Patel
TBD — Dylan Patel keynote
Katelyn Lesse
Katelyn Lesse & Angela Jiang (Anthropic)
Angela Jiang
Katelyn Lesse & Angela Jiang (Anthropic)
Michael Grinich
Auth for Agents: Unblock Autonomous AI with auth.md
Maxime Rivest
The Unreasonable Effectiveness of Separating the Task from the Model
Isaac Miller
The Unreasonable Effectiveness of Separating the Task from the Model
Mike Chambers
Harness Engineering: Building the Production Cage for Powerful Domain Agents
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
We Solved Agent Building - The Evolution of Building A Successful Data Science Agent
Philipp Schmid
Agents Without Code: How Skills, YAML, and Filesystems Replaced Python
Theo Browne
Closing Keynote — Theo Browne
Garry Tan
Closing Keynote: Garry Tan
TBD
Startup Battlefield
Ajay Prakash
Senior Staff Software Engineer, Linkedin
Aliisa Rosenthal
General Partner, Acrew Capital
Benjamin Guo
Cofounder, Zo Computer
Bereket Habtemeskel
CEO, Better Auth
Dexter Horthy
Co-Founder, HumanLayer
Krishna Chaitanya Balusu
Senior Software Engineer, Meta
Lia McBride
GM, AIE
Louis-François Bouchard
CTO & Co-Founder, Towards AI
Mihnea Munteanu
Senior Product Lead, YouTube
Paul Iusztin
Technical Staff & Educator, Decoding AI
Rémi Louf
CEO, .txt
Sebastian Fox
CEO, Composo
Stephen Chin
VP of Developer Relations, Neo4j
Yogi Miraje
Principal AI Engineer, FactSet
https://ai.engineer/
worldsfair
Jensen
Huang
President and CEO at NVIDIA
June 29 - July 2, 2026
San Francisco, CA
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