June 29 – July 2, 2026 · San Francisco, CA · imported from ai.engineer's public schedule feed

AI Engineer World's Fair 2026 — unofficial import demo

Unofficial demo. This programme was imported from the AI Engineer World's Fair's own public schedule feed to show vibeboard at real conference scale. Not affiliated with, or endorsed by, the organisers.

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Showing 561 of 561 sessions · 4 days · 50 tracks

Monday, June 29

58 sessions
9:00 AM · Track 1From Vibes to Production: Evaluating and Shipping AI Agents That Work 101Laurie VossTrack 19:00 AM · Track 2AI on Your Lakehouse: Context Comes in Shapes, Not QueriesZach BlumenfeldTrack 29:00 AM · Track 3Cooking with CodexCharlie Guo, Gabriel ChuaWorkshops Day 19:00 AM · Track 4The best SDLC is the one you build yourself: Why orchestration changes everythingShane Wolf, Andrei BocanWorkshops Day 19:00 AM · Track 5AI Security Engineer Foundations + CertificateJavier GarzaWorkshops Day 19:00 AM · Track 6Total Recall: Agent Memory and Harness EngineeringIgnacio MartinezWorkshops Day 19:00 AM · Track 7Agents That Own Their Inference: Building Production AI Agents on Dedicated GPUsDu'an Lightfoot9:00 AM · Track 8Open-Source Inference Engineering for the Agentic EraZain Hasan, Yubo Wang, Qingyang Wu, Jue WangWorkshops Day 19:00 AM · Track 9Advanced workshop: Mastering AI ObservabilityDoug Guthrie9:00 AM · Track MGet Started with Models in Microsoft Foundry to Build AI AppsPamela FoxTrack M11:05 AM · Track 1Building self-learning loops for your agentFuad AliPosttraining & Midtraining11:05 AM · Track 2RAG Needs a Map: Using GraphRAG to Retrieve Connected ContextNyah MacklinTrack 211:05 AM · Track 3How I learned to stop worrying and love the sandboxMatt BrockmanWorkshops Day 111:05 AM · Track 4The model swap workshopPamela Fox, Arun SekharWorkshops Day 111:05 AM · Track 5Teaching Agents to Search: Building Synthetic Training Pipelines with NVIDIA Data DesignerDhruv NathawaniWorkshops Day 111:05 AM · Track 6Local LLMs and workstation agents: Part 1Ahmad OsmanWorkshops Day 111:05 AM · Track 7How to Build Quality Gates into Agentic Coding WorkflowsNnenna NdukweWorkshops Day 111:05 AM · Track 8What is an Inference Engine, Anyway?Charles FryeWorkshops Day 111:05 AM · Track 9Agent Speedrun: Idea → Code → Deploy → Observe, Fix → ShipElizabeth Fuentes Leone, Sandhya SubramaniWorkshops Day 111:05 AM · Track MFrom zero to deployed on Azure with AI agentsGustavo CordidoTrack M12:10 PM · Track 1Evals in AI: A Deep DiveTejas KumarWorkshops Day 112:10 PM · Track 2From approval loops to autonomous agents with DockerJohn Craft, Dan NdombeWorkshops Day 112:10 PM · Track 32 hr deep dive on LLM Inference at Scale — Part 1 of 2Harshul Jain, Tanmay SahWorkshops Day 112:10 PM · Track 4Build the Right Thing: Product Engineering for Software Developers (Part 1)Kent C. DoddsWorkshops Day 112:10 PM · Track 5From Zero to Leaderboard: Building an End-to-End AI Agent Evaluation PipelineWolfram RavenwolfWorkshops Day 112:10 PM · Track 6Local LLMs and workstation agents: Part 2Ahmad OsmanWorkshops Day 112:10 PM · Track 7Beyond RAG: Build a Relational Context Engine from ScratchPeter WerryWorkshops Day 112:10 PM · Track 8Building AI Agents with Real-Time Web DataYohan RajuTrack 812:10 PM · Track 9Research to Reality with Google DeepMindPaige BaileyWorkshops Day 11:15 PM · Track 1Let your agent cook: using skills to evaluate and improve your appAnkur DuggalTrack 11:15 PM · Track 32 hr deep dive on LLM Inference at Scale — Part 2 of 2Harshul Jain, Tanmay SahWorkshops Day 11:15 PM · Track 4Build the Right Thing: Product Engineering for Software Developers — Part 2Kent C. DoddsWorkshops Day 11:15 PM · Track 5Build a Platform, Unleash an Agent on it.... and Watch it Burn!Michael Forrester, Whitney LeeWorkshops Day 11:15 PM · Track 6SonarQube + OpenAI: Wiring Your Team for Agentic DevelopmentKillian Carlsen-PhelanTrack 61:15 PM · Track 7How Reducto parsed the Epstein Files for the Viral JMail Project: The Secret Complexities of DocumentPalak Agarwal1:15 PM · Track 8Turning My Obsidian Vault Into a Local AI EngineerFilip MakraduliWorkshops Day 11:15 PM · Track 9Continuously improving agents with LangfuseLotte Verheyden, Annabell SchäferWorkshops Day 12:20 PM · Track 1From Vibes to Production: Evaluating and Shipping AI Agents That Work 201Laurie VossTrack 12:20 PM · Track 2The Data Context Layer: Why Data Engineering Agents Need More Than Code and DatabasesYoni Michael, Brandon CallenderTrack 22:20 PM · Track 3Special topics in Kernels, RL, Reward Hacking in AgentsDaniel HanWorkshops Day 12:20 PM · Track 4Burn your flags: How PayPal designs interactive CLI tools for agentsMark Lummus, Navinkumar PatilWorkshops Day 12:20 PM · Track 5AI Security Engineer Foundations + CertificateMicah SilvermanWorkshops Day 12:20 PM · Track 6Context Engineering in 2026: Compaction, Memory & CostLouis-François Bouchard, Samridhi Vaid, Omar Solano2:20 PM · Track 7Vector Isn't Enough: Hybrid Search & Retrieval for AI EngineersJeff VestalTrack 72:20 PM · Track 8Build with Perception AgentsEmile Baizel, Shruti AroraWorkshops Day 12:20 PM · Track 9Hands-on AutoResearch: Cracking OpenAI's Parameter GolfZhengyao Jiang, Dixing Xu, Vayum Arora, Dhruv SrikanthWorkshops Day 12:20 PM · Track MObserve, optimize and protect your hosted agents in Microsoft FoundryPamela FoxTrack M4:30 PM · Track 1The Autonomous Computer: Full-stack Infrastructure for Computer Use AgentsAng LiWorkshops Day 14:30 PM · Track 2The Dark Arts of Skill EngineeringPaul Bakaus4:30 PM · Track 4Hill-climbing Skills: How to Improve Agents Without Touching the ModelShubhankar SrivastavaWorkshops Day 14:30 PM · Track 5Agent AuthBereket Habtemeskel, Paola EstefaniaWorkshops Day 14:30 PM · Track 6The Prime Intellect StackWill BrownWorkshops Day 14:30 PM · Track 7Lifestyles of the AI-Native: Voice-coding, agent skills, hooks and scheduled tasksNick Nisi, Zack ProserWorkshops Day 14:30 PM · Track 8The Art and Science of Loopcraft with Pi (and friends)Joel HooksWorkshops Day 14:30 PM · Track 9Evolution of agentic surfacesGagan Bhat, Isabella Kai HeWorkshops Day 15:00 PM · Expo Stage 2 NWHuman Connection in the Age of AIJoyce Zhang, Carole Robin, Ph.D.Expo Stage 26:00 PM · Expo Stage 3 SWExpo Welcome SpeechSonar Sonar, Extend AIExpo Stage 36:15 PM · Expo Stage 3 SWRunway AI Film FestivalExpo Stage 3

Tuesday, June 30

166 sessions
9:00 AM · Main StageThe Highest Loopswyx swyxSoftware Factories9:05 AM · Main StageOn AI and KnowledgePablo CastroSoftware Factories9:25 AM · Main StageThe Golden Age of AI EngineeringAlexander Embiricos, Romain HuetSoftware Factories9:45 AM · Main StageGLM-5.2: Frontier Intelligence, Open Weights.Zixuan LiSoftware Factories10:05 AM · Main StageThom Wolf keynoteThom Wolf, Olive SongSoftware Factories10:25 AM · Main StageSecurity Track introManoj NairSoftware Factories10:45 AM · Expo Stage 1 NEEvery AI company is accidentally building a bank.Dor SassonExpo Stage NE10:45 AM · Expo Stage 2 NWThe Enterprise Agentic Gap: When Developer-Level AI Tools Hit Millions of LinesDan Adler10:45 AM · Expo Stage 3 SWHow PayPal Enterprise Payments handles agent-initiated payments across ChatGPT and Google AI ModeSam Parsons10:45 AM · Expo Stage 4 SEAgentic Search for Coding AgentsJakub Hojsan10:45 AM · Leadership 1Inside the AI economy: What Stripe’s data revealsNilofer RajpurkarAgentic Commerce10:45 AM · Leadership 2Governance Is the Real Bottleneck to AI ROIDavid HsuClaws & Personal Agents10:45 AM · Main StageGetting the most out of CodexJason LiuSoftware Factories10:45 AM · Track 1Security Firewall for AgentsRyan DahlClaws & Personal Agents10:45 AM · Track 2The State of VisionJoseph NelsonVision & OCR10:45 AM · Track 3Pinecone 2.0Edo LibertySearch & Retrieval10:45 AM · Track 4Claude Managed Agents Workshop (Part 1)Priyanka Phatak, Gabriel CemajWorkshops Day 210:45 AM · Track 5Through the AI Fog: The architectural decision the next 24 months of agentic security depends on.Manoj NairSecurity10:45 AM · Track 6The New Primitives: Building AI-Native SoftwareKwindla KramerVoice & Realtime AI10:45 AM · Track 7Tokens In, Engagement Out: Training LLM-RecommendersDevansh TandonLLM Recsys10:45 AM · Track 8How Forward Deployed Engineering is done at FactoryEno ReyesForward Deployed Engineering10:45 AM · Track 9Data Quality is the Compute MultiplierAri MorcosData Quality10:45 AM · Track MBuild agents fast with GitHub Copilot (from idea to working app)Idan GazitTrack M11:10 AM · Expo Stage 1 NEGive your coding agents the power of turbogrep!Owen Halpert11:10 AM · Expo Stage 2 NWActionable Knowledge For Agents With Context GraphsWill LyonExpo Stage 211:10 AM · Expo Stage 3 SWFrontier models for the hard parts, open weights for the rest11:10 AM · Expo Stage 4 SEAgents, codebases, and teams: what it actually takes to ship togetherAditya Khandelwal11:10 AM · Leadership 1Building the engine while flying the plane — launching the Figma MCP serverJesse LumarieAI-Native Enterprises11:10 AM · Leadership 2Your Agent Evolved. Your Evals Didn't.Ameya BhatawdekarAI Architects: Show my Workflow11:10 AM · Main StageRise of the Software FactoryTereza TížkováSoftware Factories11:10 AM · Track 1Your Agent Didn’t Fail. Your Harness Did.Vinoth GovindarajanClaws & Personal Agents11:10 AM · Track 2Building the Document Context Layer for AI AgentsJerry LiuVision & OCR11:10 AM · Track 3The unreasonable effectiveness of BM25 for agentic searchJo Kristian BergumSearch & Retrieval11:10 AM · Track 4Claude Managed Agents workshop (Part 2)Priyanka Phatak, Gabriel CemajWorkshops Day 211:10 AM · Track 5Your LLM Stack Is a 2008 Database With Better Marketing: Why ML Security Is Dominated by Misconfiguration, Not Missing FeaturesLovina DmelloSecurity11:10 AM · Track 6Speech-to-Speech Model Research at Google DeepMindValeria Wu Fon, Tom OuyangVoice & Realtime AI11:10 AM · Track 7Spotify LLM RecsysJacqueline Wood, Yves RaimondLLM Recsys11:10 AM · Track 8How Forward Deployed Engineering is done at CursorPauline BrunetForward Deployed Engineering11:10 AM · Track 9The Messy Reality of Scale: Synthetic Data and Pre-Training at PoolsideRobert McHardy, Marah AbdinData Quality11:40 AM · Expo Stage 2 NWAgentic vs. Vector Search: An Eval-Driven Approach to Coding Agent PerformanceJess Wang11:40 AM · Expo Stage 3 SWAgents Don't Have Coworkers, They Have HostagesGabriel Martinez11:40 AM · Expo Stage 4 SEWould your AI agent get the job? A performance review framework for enterprise agentsAndreea Pleşea, Dan Bălăceanu11:40 AM · Leadership 1Agentic SDLC at Uber: Building Blocks for Uber's Software FactoryUday Kiran Medisetty, Adam HudaAI-Native Enterprises11:40 AM · Leadership 2The Last Human Code Review: Building Trust in AI-Generated CodeItamar FriedmanAI Architects: Show my Workflow11:40 AM · Main StageOrchestras, not FactoriesCharlie HoltzSoftware Factories11:40 AM · Track 1Everyone Gets A Software CompanyBenjamin Guo, Rob CheungClaws & Personal Agents11:40 AM · Track 2Skill issue: stop deploying vision language models, use them with Skills to build e2e vision apps on edgeMerve NoyanVision & OCR11:40 AM · Track 3The Search Engine for the Agentic WebWill BrykSearch & Retrieval11:40 AM · Track 4Claude Managed Agents workshop (Part 3)Priyanka Phatak, Gabriel CemajWorkshops Day 211:40 AM · Track 5We Gave an Agent Production Code Access and Then Tried to Sleep at NightMoritz JohnerSecurity11:40 AM · Track 6Voice Agents Can Just Do ThingsCharlie GuoVoice & Realtime AI11:40 AM · Track 7LLM Recsys at DoorDashRaghav SabooLLM Recsys11:40 AM · Track 8AI tools for Forward Deployed EngineeringVasuman MozaForward Deployed Engineering11:40 AM · Track 9Rethinking Environments for Long Horizon WorkRayan GargData Quality11:40 AM · Track MUse Copilot across CLI, dev, and cloud workflows to move faster end-to-endPamela FoxTrack M12:05 PM · Expo Stage 1 NEYour Agent Is Lying to You About Whether It WorkedDat Ngo12:05 PM · Expo Stage 2 NWWhy building building agent quality platforms is hard.Hossein Niazmandi12:05 PM · Expo Stage 3 SWCan LLMs write fast multi-GPU kernels? We built a benchmark to find out.Simran Arora12:05 PM · Expo Stage 4 SESelf-Improving Agents That Teach the Company BackRafal Wilinski12:05 PM · Leadership 1Scaling Code Quality: Building uReview, Uber’s Multi-Agent Code Review EngineWill Bond, Ameya KetkarAI-Native Enterprises12:05 PM · Leadership 2Prototyping as Leadership: How a CTO Ships with AI AgentsHursh AgrawalAI Architects: Show my Workflow12:05 PM · Main StageWhat we learned by analyzing 1M AI-generated PRsDaksh GuptaSoftware Factories12:05 PM · Track 1Tethered: Our Agents Are UsShu FangClaws & Personal Agents12:05 PM · Track 2Modality Misalignment and Originality Attribution in Short-Form Video: A Multi-Agent Approach at Platform ScaleAditya GautamVision & OCR12:05 PM · Track 3Rebuilding the web for agentsLiad YosefSearch & Retrieval12:05 PM · Track 4Claude Managed Agents workshop (Part 4)Priyanka Phatak, Gabriel CemajWorkshops Day 212:05 PM · Track 5Agentic Development SecurityEzra TanzerSecurity12:05 PM · Track 6Your Voice Agent is Just a Walkie-TalkieNeil ZeghidourClaws & Personal Agents12:05 PM · Track 7Open Q&A: LLM RecsysDevansh TandonLLM Recsys12:05 PM · Track 8How Forward Deployed Engineering is done at CognitionJia WuForward Deployed Engineering12:05 PM · Track 9Bugcrowd posttraining talkDavid BrumleyPosttraining & Midtraining1:30 PM · Expo Stage 1 NEEvery Agent, Everywhere, All at OnceVlad Luzin1:30 PM · Expo Stage 3 SWDesigning Evals That Earn User TrustFelipe Blanes1:30 PM · Expo Stage 4 SEStop promptingGreg PstruchaExpo Stage 41:30 PM · Leadership 1Spin at the Gate Until Green: The Engineering Primitives Behind Self-Driving CodebasesAndrew OrobatorSoftware Factories1:30 PM · Leadership 2Serving 2 Million Models Without Melting: Scaling the Hugging Face HubArek BoruckiAI Architects: Show my Workflow1:30 PM · Main StageGet Out of the Model's WayKevin HouSoftware Factories1:30 PM · Track 1Agents' next frontier: agent-to-agent and network effectsJean-Denis GrezeClaws & Personal Agents1:30 PM · Track 2From Ingestion to Agents: How Leading AI Teams Build on Document IntelligenceAdit AbrahamVision & OCR1:30 PM · Track 3If we want them to do Knowledge Work, we need to design Knowledge AgentsBenjamin ClaviéSearch & Retrieval1:30 PM · Track 4Everybody Gets a Digital Clone! (Part 1 of 3)Neil ZeghidourWorkshops Day 21:30 PM · Track 5Using LLMs to Secure Source CodeEugene YanSecurity1:30 PM · Track 6Tolan: Voice-First AI CompanionPaula DozsaVoice & Realtime AI1:30 PM · Track 7From approval loops to autonomous agents with Docker pt1John CraftLLM Recsys1:30 PM · Track 8The Dirty Secret of Forward Deployed EngineeringNatalie MeurerForward Deployed Engineering1:30 PM · Track 9The Base Model is DeadVarun SinghData Quality1:30 PM · Track MModernize CI/CD using agent-assisted workflows that reduce manual debuggingSalil SubbakrishnaTrack M1:55 PM · Expo Stage 1 NEWho Approved That MCP Server? Governing the Tool LayerJim Clark1:55 PM · Expo Stage 2 NWVoice Agents Are Mostly Invisible. Here's How to See Them.Fuad Ali1:55 PM · Expo Stage 3 SWwhat we learned by analyzing 1M AI generated PRs1:55 PM · Expo Stage 4 SEDeploying browser agents at scaleDerek Meegan1:55 PM · Leadership 1AI Evals Platform for Cross-Functional Teams at ScaleNachiket Paranjape, Swaroop Chitlur HaridasAI-Native Enterprises1:55 PM · Leadership 2IT Admin for the AI Workforce: Why Your AI Agents Will Need Their Own IT DepartmentSarthak AggarwalAI Architects: Show my Workflow1:55 PM · Main StageSelf-Improving software factories: The new open source model"Zach LloydSoftware Factories1:55 PM · Track 1Claude for long-horizon tasksLance MartinClaws & Personal Agents1:55 PM · Track 2The Best Models Still Reason Like ToddlersAndrew DaiVision & OCR1:55 PM · Track 3Your Agreements Are a Database You Can't Query. We're Fixing ThatHiral Shah, Sean SodhaSearch & Retrieval1:55 PM · Track 4Everybody Gets a Digital Clone! (Part 2 of 3)Neil ZeghidourWorkshops Day 21:55 PM · Track 5Dual-Surface Architecture: Serving Humans and Agents from the Same Tool LayerEthan (Jung Min) ChaSecurity1:55 PM · Track 65 Voice Agent Failure Modes You'll Hit in Week OneVenky B, Vyas AVoice & Realtime AI1:55 PM · Track 7From approval loops to autonomous agents with Docker pt2John CraftLLM Recsys1:55 PM · Track 8How Forward Deployed Engineering is done at DecagonSunny RekhiForward Deployed Engineering1:55 PM · Track 9Ending AI SlopThais Castello BrancoData Quality2:25 PM · Expo Stage 1 NEBeyond Golden Signals: Monitoring in the Age of GenAIMarina Petzel2:25 PM · Expo Stage 2 NWBuild agents fast with GitHub Copilot (from idea to working app)Idan GazitExpo Stage 22:25 PM · Expo Stage 3 SWBuilding agents is trivial now, context is the next frontierJeff Ng2:25 PM · Expo Stage 4 SEContinuous Engineering: Software Development for the Age of Agents2:25 PM · Leadership 1Productionizing LLM Gateways: Architecture, Tradeoffs, and Hard Lessons from the TrenchesKanish ManujaAI-Native Enterprises2:25 PM · Leadership 2The Era of Compound EngineeringKieran KlaassenAI Architects: Show my Workflow2:25 PM · Main StageWe're the bottleneck, but we don't have to beIdo SalomonSoftware Factories2:25 PM · Track 1From coding to Knowledge work agentsKaran VaidyaClaws & Personal Agents2:25 PM · Track 2You’re Not Thinking Big Enough: Rebuilding Food Systems from First Principles with AI AgentsCody MenefeeVision & OCR2:25 PM · Track 3How to Connect AI to Billions of Legal DocumentsSimon Eskildsen, Jacob LauritzenSearch & Retrieval2:25 PM · Track 4Everybody Gets a Digital Clone! (Part 3 of 3)Neil ZeghidourWorkshops Day 22:25 PM · Track 5Agentic Security: Permissions, Provenance, and the Agent Supply ChainSteve YeggeSecurity2:25 PM · Track 6I Monitored Crime Audio. Voice Agents Scare Me More.Sumanyu SharmaVoice & Realtime AI2:25 PM · Track 7From approval loops to autonomous agents with Docker pt3John CraftLLM Recsys2:25 PM · Track 8How Forward Deployed Engineering is done at RampLeo MehrForward Deployed Engineering2:25 PM · Track 9Scaling to Long-Horizons: Algorithms, Environments, ComputeRoss Taylor, Chengxi TaylorData Quality2:25 PM · Track MUsing AI tools to teach old apps new tricksMaria BledsoeTrack M2:50 PM · Expo Stage 1 NE6 Pillars of an Agentic Harness That Fixes Production IncidentsVarun Krovvidi2:50 PM · Expo Stage 2 NWVideo Discovery for Agentic World-Model TrainingRafael Levi2:50 PM · Expo Stage 4 SESelf-Driving Production: AI Wrote your Code. AI Should Fix It, Too2:50 PM · Leadership 1From AI-Assisted to AI-Native: Building a Frontier Development TeamClare LiguoriAI-Native Enterprises2:50 PM · Leadership 2How I automate my own job at Hugging Face using agentsNiels RoggeAI Architects: Show my Workflow2:50 PM · Main StageNotion's Token TownSarah SachsSoftware Factories2:50 PM · Track 1Your company brain will leak secrets. Here's how we stopped it for big banks and ourselves.Tanmai GopalClaws & Personal Agents2:50 PM · Track 2From VLM/VLA's to Embodied AgentsArmen AghajanyanVision & OCR2:50 PM · Track 3Where RL Will Take SearchMaximilian-David Rumpf, Lotte SeifertSearch & Retrieval2:50 PM · Track 4Setting Yourself Up for Success — Part 1Jason LiuWorkshops Day 22:50 PM · Track 5It's 10pm. Do You Know Where Your Agents Are?Kim MaidaSecurity2:50 PM · Track 6Realtime Voice Agents with Frontier IntelligenceBohan LiVoice & Realtime AI2:50 PM · Track 7From approval loops to autonomous agents with Docker pt4John CraftLLM Recsys2:50 PM · Track 8Forward Deployed Engineering 101Kevin BaiForward Deployed Engineering2:50 PM · Track 9When Will The Benchmaxxing Plague End?Nick HeinerAI Architects: Show my Workflow3:20 PM · Expo Stage 1 NECan Your Agent Hear You Now?Thor 雷神 SchaeffExpo Stage 33:20 PM · Expo Stage 2 NWFrom Context to Memory: Your Agents Need a Real Memory LayerAnders Swanson3:20 PM · Expo Stage 3 SWRunning a 20T-Token Data Pipeline: Infrastructure Lessons from ProductionBogdan Gaza3:20 PM · Expo Stage 4 SEFrom raw documents to AI-ready dataLeo Platzer3:20 PM · Leadership 1How to Get Your Org to Adopt Coding Agents (Without Shipping Garbage)Eyal BlumAI-Native Enterprises3:20 PM · Leadership 2Your Fine-Tuned Model Is Tech Debt: A 50x ROI House of CardsDan BjornnAI Architects: Show my Workflow3:20 PM · Main Stagefighting slop with slopVaibhav GuptaSoftware Factories3:20 PM · Track 1Every Harness Will Become A ClawSam BhagwatClaws & Personal Agents3:20 PM · Track 2From Scratch to SOTA: Training a 3B State-Space Vision Model for 1.4 Billion PeopleKrishna Prasad SrinivasanVision & OCR3:20 PM · Track 3Stop Chunking Like It's 2022Yuval Belfer, Niv GranotSearch & Retrieval3:20 PM · Track 4Setting Yourself Up for Success — Part 2Jason LiuWorkshops Day 23:20 PM · Track 5AI’s Jurassic Park PeriodAaron StanleySecurity3:20 PM · Track 6"My name is... my name is...": A Linguistic Map for Building and Debugging Voice AgentsMidam KimVoice & Realtime AI3:20 PM · Track 7From approval loops to autonomous agents with Docker pt5John CraftLLM Recsys3:20 PM · Track 8How Forward Deployed Engineering is done at KeplerVinoo GaneshForward Deployed Engineering3:20 PM · Track 9Building Worlds for ModelsNicolai OuporovData Quality3:20 PM · Track MSurviving Your Own Velocity: How VS Code Ships Weekly with 40 PeopleHarald KirschnerTrack M3:45 PM · Expo Stage 1 NEHow We Built the Airbyte Agent MCP Server and CLIPedro LopezExpo Stage 13:45 PM · Expo Stage 2 NWFrom Chatbots to Agents: How Reducto builds for Agent Experience to Enable Real WorkAbhi Arya3:45 PM · Expo Stage 3 SWTowards Reliable Financial Agents: How a 4B Model Outsmarted a 235B GiantCharlie Dickens3:45 PM · Expo Stage 4 SEAI Enablement at Automattic: How a Remote Company Builds AI FluencyEm Shreve3:45 PM · Leadership 2Unlock Agent Autonomy: The Runtime for AI-Native SystemsTushar JainAI Architects: Show my Workflow3:45 PM · Main StageLoop Engineering from first principlesKyle MisteleSoftware Factories3:45 PM · Track 1Gadgets: Personal app vibe coding that is actually safeKenton VardaSoftware Factories3:45 PM · Track 4Setting Yourself Up for Success — Part 3Jason LiuWorkshops Day 23:45 PM · Track 5Secure Cloud ComputeEthan SutinSecurity3:45 PM · Track 6Act, Confirm, or Stop? Smarter behavior for AI assistants, wearables & robotsAmit DesaiVoice & Realtime AI3:45 PM · Track 9Data and Environment Curation for Post-training LLMsMahesh SathiamoorthyData Quality4:30 PM · Main StageHarness Engineering is not Enough: Why Software Factories FailDex HorthySoftware Factories4:50 PM · Main StageIn Code They Act, In Proof We TrustErik MeijerHarness Engineering5:10 PM · Main StageRecursive Model ImprovementLee RobinsonSoftware Factories

Wednesday, July 1

166 sessions
9:05 AM · Main StageField Guide to FableThariq ShihiparAutoresearch9:25 AM · Main StageIn the Land of AI Agents, the Verifiers Are KingTariq ShaukatSoftware Factories9:45 AM · Main StagePerception AgentsAntje BarthAutoresearch10:05 AM · Main StageResearch to Reality with Google DeepMindBenoit SchillingsAutoresearch10:25 AM · Main StageEvals Track IntroLaurie Voss, Aparna DhinakaranAutoresearch10:45 AM · Expo Stage 2 NWAI Engineering & Governance 2026 TrendsWallon WalusayiExpo Stage 210:45 AM · Expo Stage 3 SWWhy AI Didn't Actually Make You Ship FasterGabriel Spencer-HarperExpo Stage 310:45 AM · Expo Stage 4 SERedesigning how software gets builtTBD — SonarExpo Stage 410:45 AM · Leadership 1How do you diffuse AI into the real world?Varun ShenoyAI-Native Enterprises10:45 AM · Leadership 2The Z/L Continuum: Should AI Engineers Still Read Code?Alex VolkovAI Architects: Tokenmaxxing10:45 AM · Main StageFirst Steps Toward Automated AI ResearchRichard SocherAutoresearch10:45 AM · Track 1Don’t build agents, build environmentsAdam AzzamSandbox & Platform Engineering10:45 AM · Track 2Building the simulation infrastructure for practical world model useChristopher ManningRobotics & World Models10:45 AM · Track 3Beyond Static Intelligence: Evaluating Continual LearningParth AsawaMemory & Continual Learning10:45 AM · Track 4Build realtime multimodal agents with Gemini LiveThor 雷神 SchaeffWorkshops Day 210:45 AM · Track 5Vending-Bench: Long-Horizon Agent Evals for a Simulated Vending BusinessLukas PeterssonEvals10:45 AM · Track 6Understanding is the new bottleneckGeoffrey LittDesign Engineering10:45 AM · Track 7Computer-use models will agentify the web, not APIsDhruv BatraComputer Use10:45 AM · Track 8Build-Time vs. Run-Time: Why Your Dev Tools Will Fail in ProductionAveri Kitsch, Prerna KakkarContext Engineering10:45 AM · Track 9What's next after RLHF?Diogo AlmeidaPosttraining & Midtraining10:45 AM · Track MFrom framework to runtime: running agents with Foundry Agent ServiceTina Manghnani, Keiji KanazawaTrack M11:00 AM · Leadership LoungeTokenomics: From AI Spend to AI ValueMartin Harrysson, Matt Linderman, Prakhar DixitCTO Circle11:10 AM · Expo Stage 1 NEHarnessing Agents: The Durable Runtime for Dynamic WorkflowsViren Baraiya11:10 AM · Expo Stage 2 NWAI-Assisted Engineering: 5 Trends We're Seeing From 500+ OrganizationsJustin ReockExpo Stage 211:10 AM · Expo Stage 3 SWThe Death of Keyword Search and the Rise of Agent-Readable CatalogsNixon DinhExpo Stage 311:10 AM · Expo Stage 4 SEFDE Playbook: Build an AI Support Agent and Give It a VoiceMatt LawlerExpo Stage 411:10 AM · Leadership 1How to avoid disaster when vibe-coding a billing engineAndrew GarvinAI-Native Enterprises11:10 AM · Leadership 2Is Orchestration the Future?Vlad LuzinAI Architects: Tokenmaxxing11:10 AM · Main StageAutoresearch for Dense Retrieval: Test-Time Compute with Frozen Embedding ModelsHan XiaoAutoresearch11:10 AM · Track 1Letting the Interns Loose — How We Accelerated AI Adoption.Shashank GoyalSandbox & Platform Engineering11:10 AM · Track 2Building the simulation infrastructure for practical world model use (Part 2)Christopher ManningRobotics & World Models11:10 AM · Track 3Scaling up Continual LearningRonak MaldeMemory & Continual Learning11:10 AM · Track 4Build realtime multimodal agents with Gemini Live (continued 2)Thor 雷神 SchaeffWorkshops Day 211:10 AM · Track 5From Signal to PR: Anatomy of a Self-Improving AgentJason LopateckiEvals11:10 AM · Track 6The Spatial Harness: Bringing Agents to the CanvasMax DrakeDesign Engineering11:10 AM · Track 7Computer Use at the Edge of the Statistical PrecipicePierluca D'OroComputer Use11:10 AM · Track 8It’s Tokens All The Way Down: How RLMs are DifferentKevin MaduraContext Engineering11:10 AM · Track 9State of DataSean CaiPosttraining & Midtraining11:40 AM · Expo Stage 1 NEFault-Tolerant Training at Scale: Making Hardware Failures a Non-Event11:40 AM · Expo Stage 2 NWHow to generate mergeable code with a context enginePeter Werry11:40 AM · Expo Stage 4 SEAI agents don't read your policy docs. They hit your APIs.11:40 AM · Leadership 1Your Code Has Bugs. Lean4 Has Proofs. A Practical Guide to Formal Verification for EngineersVarun PantAI-Native Enterprises11:40 AM · Leadership 2How to Kill the Code ReviewAnkit JainAI Architects: Tokenmaxxing11:40 AM · Main StageMemory Harnesses for Long-Running Research AgentsStefania DrugaMemory & Continual Learning11:40 AM · Track 1Kubernetes Is Not Your SandboxIvan BurazinSandbox & Platform Engineering11:40 AM · Track 2Commercial Grade-Robots for Real World UsageJason MaRobotics & World Models11:40 AM · Track 3Scaling Compute on ContextJack MorrisMemory & Continual Learning11:40 AM · Track 4Build realtime multimodal agents with Gemini Live (continued 3)Thor 雷神 SchaeffWorkshops Day 211:40 AM · Track 5Building Closed-Loop Evals for a Multimodal Agent at Uber ScaleSoumya Gupta, Jai ChopraEvals11:40 AM · Track 6The Design-Code Roundtrip That Isn'tJonathan GordonDesign Engineering11:40 AM · Track 7Bringing agents onto the world wide webPaul Klein IVComputer Use11:40 AM · Track 8500 Skills, Zero Fine-Tuning: LinkedIn's Playbook for AI Agents That Actually Know Your CodebaseAjay PrakashContext Engineering11:40 AM · Track 9Training Frontier Models to Out-Think HackersUri Rolls, Thom WolfData Quality11:40 AM · Track MOpenAI, Anthropic, or agent frameworks: choose the right AI stackArun Sekhar, Pamela FoxTrack M12:05 PM · Expo Stage 1 NEYour agent architecture has a half-life of 6 monthsDan Farrelly12:05 PM · Expo Stage 2 NWFrom Stateless to Stateful: Orchestrating Real-Time Voice & Messaging Agents with Twilio and Amazon BedrockRishab Kumar12:05 PM · Expo Stage 3 SWHarnessing Collective Agent Intelligence for Open ScienceJames Zou12:05 PM · Expo Stage 4 SEPrompt, Memory, Weights: The Architecture Decisions Most AI Teams Make by AccidentAnant SrivastavaContext Engineering12:05 PM · Leadership 1AI-Native Organisations runs on Skills: How to Extract, Structure, evaluate and Scale ThemImad TouilAI-Native Enterprises12:05 PM · Leadership 2The Death of the Code ReviewLaurie VossAI Architects: Tokenmaxxing12:05 PM · Main Stage« the era of (auto) research »Elie BakouchAutoresearch12:05 PM · Track 1Your agent needs a sandbox, not a desertSamuel ColvinSandbox & Platform Engineering12:05 PM · Track 3Intelligence + Continual Learning = ExpertiseYu SuMemory & Continual Learning12:05 PM · Track 4Build realtime multimodal agents with Gemini Live (continued 4)Thor 雷神 SchaeffWorkshops Day 312:05 PM · Track 5From Agent Traces to Agent Simulations: The next era of agent evaluationRustem FeyzkhanovEvals12:05 PM · Track 6Mousepower: agents that can’t be measured, can’t be managed.Maximillian PirasDesign Engineering12:05 PM · Track 7The Dark Arts of Web Automation: Teaching Agents to Use Websites Like HumansCorey GallonComputer Use12:05 PM · Track 8Your agents lack context: Here's how to fix "You're absolutely right!"Brandon WaselnukContext Engineering12:05 PM · Track 9Learning on the job: the future of post-trainingRaymond FengPosttraining & Midtraining1:30 PM · Expo Stage 2 NWSurviving Your Own Velocity: How VS Code Ships Weekly with 40 PeopleHarald KirschnerExpo Stage 21:30 PM · Expo Stage 3 SWWhy Agents Should Have Their Own SandboxPhilipp SchmidExpo Stage 11:30 PM · Leadership 1The Half Life of Agent InfrastructureBen KusAI-Native Enterprises1:30 PM · Leadership 2Tokenmaxxing is the New "Lines of Code"Nicholas ArcolanoAI Architects: Tokenmaxxing1:30 PM · Main StageClosing the Loop: An Autonomous AI Research AgentTim SweeneyAutoresearch1:30 PM · Track 1From fork() to Fleet: Designing an Agent Sandbox Cloud Pt 1Abhishek BhardwajSandbox & Platform Engineering1:30 PM · Track 2Unitree: Building Mass Produced HumanoidsXiangMing SunRobotics & World Models1:30 PM · Track 3Adaption Labs — Gradient-Free Continual LearningSara HookerMemory & Continual Learning1:30 PM · Track 4The Agentic Power User's Playbook: Tips and Tricks for Swarm-Style Agentic DevelopmentJohn LindquistWorkshops Day 31:30 PM · Track 5Model Whisperers: How Evals and Prompts Shape Agent BehaviorChris Souza, Preetika Bhateja, Daniel BumpEvals1:30 PM · Track 6Design at the Speed of AdjectivesPaul BakausDesign Engineering1:30 PM · Track 7From RL to IRLGaurav MishraComputer Use1:30 PM · Track 8How long can your skills be before your agent forgets what you told it?Laurie VossContext Engineering1:30 PM · Track 9Reinforcement Learning without Verifiable RewardsWill BrownPosttraining & Midtraining1:55 PM · Expo Stage 1 NEEdge-Native AI: Building Ultra-Fast Agents and MCP Servers with SpinThorsten HansExpo Stage 21:55 PM · Expo Stage 2 NWWhy your company needs a context graph, and how to build itGil FeigExpo Stage 31:55 PM · Expo Stage 3 SWWarp: Building Self-Improving Agent Software FactoriesSuraj Gupta1:55 PM · Expo Stage 4 SENatively Multimodal from Step Zero1:55 PM · Leadership 1Guardians of the State: How We Built an Air-Gapped AI Fortress for Consumer DataRachna SrivastavaAI-Native Enterprises1:55 PM · Leadership 2Engineering Agency out of the Happy PathMatthew JewkesAI Architects: Tokenmaxxing1:55 PM · Main StageAn AI Agent Became the #1 Contributor in OpenAI's Hiring ChallengeZhengyao JiangAutoresearch1:55 PM · Track 1From fork() to Fleet: Designing an Agent Sandbox Cloud Pt2Abhishek BhardwajSandbox & Platform Engineering1:55 PM · Track 2Frontier Robotics ResearchDeepak PathakRobotics & World Models1:55 PM · Track 3Improving Agents is a Data Mining ProblemVivek TrivedyMemory & Continual Learning1:55 PM · Track 4The Agentic Power User's Playbook: Tips and Tricks for Swarm-Style Agentic Development (continued 2)John LindquistWorkshops Day 31:55 PM · Track 5Evaling Video SlopMaor BrilEvals1:55 PM · Track 6Training TasteThais Castello BrancoDesign Engineering1:55 PM · Track 7The Rise of CaaS: Context-as-a-Service for Agentic AIOmer PrimorComputer Use1:55 PM · Track 8WTF Is the Context Layer? The Missing Infrastructure for Production AgentsPrukalpa SankarContext Engineering1:55 PM · Track 9Emulated: The data for fully autonomous software engineers and companiesJoseph WangPosttraining & Midtraining2:25 PM · Expo Stage 1 NEPower agents with Microsoft IQRonak ChokshiExpo Stage 12:25 PM · Expo Stage 2 NWBeyond Code Generation: API Context for Agentic EngineeringKamalakannan Nandagopal2:25 PM · Expo Stage 3 SWLatency Is a Budget. Humanlike Is the Goal.Jesse Hall2:25 PM · Expo Stage 4 SEYour Stack Has a Latency Problem You Can’t See2:25 PM · Leadership 1From Tokenmaxxing to Trusted ThroughputMingsheng HongAI-Native Enterprises2:25 PM · Leadership 2I Let Agents Refactor My Codebase for 3 Weeks. Then I Read the Code.Keiji KanazawaAI Architects: Tokenmaxxing2:25 PM · Main StageSelf-Improvement of Context, Harness, and Model Weights through Reflective OptimizationLakshya AgrawalAutoresearch2:25 PM · Track 11,000 Agent Tasks in a Sandbox: What Breaks When LLMs Write and Run CodeKevin OrellanaSandbox & Platform Engineering2:25 PM · Track 2From Manual Drones to Autonomous Multi-Agent MissionsSuchet BargotiRobotics & World Models2:25 PM · Track 3Bringing Continual Learning into EnterprisesSamuel DentonMemory & Continual Learning2:25 PM · Track 4The Agentic Power User's Playbook: Tips and Tricks for Swarm-Style Agentic Development (continued 3)John LindquistWorkshops Day 32:25 PM · Track 5Ask YouTube — Open Q&AMihnea MunteanuEvals2:25 PM · Track 6Imagination EngineeringEve BouffardDesign Engineering2:25 PM · Track 7Computer-Use 2.0: Agents Just Got Multi-CursorFrancesco Bonacci, Dillon DuPontComputer Use2:25 PM · Track 8MCP Apps - Extending the frontierLiad Yosef, Ido SalomonContext Engineering2:25 PM · Track 9LatchBioKenny WorkmanPosttraining & Midtraining2:25 PM · Track MPower agents with Microsoft IQMarco CasalainaTrack M2:50 PM · Expo Stage 1 NEInference performance as a competitive advantageAlex Campos, Yunmo Koo2:50 PM · Expo Stage 2 NWBuilding an Agent Harness for the Business, Not the BuilderGarrett Galow2:50 PM · Expo Stage 3 SWThe Frontier Is Coming HomeDylan Couzon2:50 PM · Expo Stage 4 SEContinuous Offensive Security the only approach in an agent-first worldEli Cohen2:50 PM · Leadership 1Agents Are Where Microservices Were in 2015. We're Making All the Same Mistakes.Roberto Milev, Uday KanagalaAI-Native Enterprises2:50 PM · Leadership 2Intelligent Model Routing: Frontier Performance Without Frontier BillsTomás Hernando KofmanSandbox & Platform Engineering2:50 PM · Main StageAutoresearch for KernelsTejas BhaktaAutoresearch2:50 PM · Track 1The Next Trillion Users of the Internet Still Don't Have an IdentityAdi SinghSandbox & Platform Engineering2:50 PM · Track 2Why Large? Tiny LMs & Agents on Edge/RoboticsCormac BrickRobotics & World Models2:50 PM · Track 3Designing Agents (The Floor Is the Frontier)Ben HylakMemory & Continual Learning2:50 PM · Track 4Don't Write Skills, Train ModelsBrian Douglas, John McBrideWorkshops Day 32:50 PM · Track 5Evals Driven-Development: Engineering a Mental Health AI Coach Ethically & SafelyAkele Reed, Dave Revere, Doug KellerEvals2:50 PM · Track 6The Missing Layer: Design Taste in AI Agents // Stop Letting Your Agents Ship Ugly UIsHassan El MghariDesign Engineering2:50 PM · Track 7Will AI predict people like we predict the weather? (alternate title “A field guide to synthetic personas for market research”)Ishan AnandComputer Use2:50 PM · Track 8MCP Apps: Give the Model Data, Give the User a UIDustin MihalikContext Engineering2:50 PM · Track 9Agents at Scale: Inside MiniMax's Model and the Infrastructure Behind ItOlive Song, Dan FuPosttraining & Midtraining3:20 PM · Expo Stage 1 NEThe Self-Improving OSS Agent Stack3:20 PM · Expo Stage 2 NWAI Applications in a flash! No Dev Ops. Just code.Dean Quiñanola3:20 PM · Expo Stage 3 SWThe Infinite Context Window Is a Myth: Context Engineering for AI AgentsElizabeth Fuentes Leone3:20 PM · Expo Stage 4 SEVibe Code Safely: Introducing Gadgets3:20 PM · Leadership 1Agentic Sites: Building Hyper Personalized WebsitesCarlos SanchezAI-Native Enterprises3:20 PM · Leadership 2Inference is the New Training Loop: Architecting High-Reliability Agents and Continuous AI SystemsDavid CorbittPosttraining & Midtraining3:20 PM · Main StageAutoresearch in the wildRoland Gavrilescu, Julian BrightAutoresearch3:20 PM · Track 1Sandboxes Aren't Optional: Runtime Isolation Patterns for Coding Agents at ScaleRobert BrennanSandbox & Platform Engineering3:20 PM · Track 2From Self-Driving Monorepo to Self-Driving CarsAmit NavindgiRobotics & World Models3:20 PM · Track 3Lessons from Studying Every Memory SystemShlok KhemaniMemory & Continual Learning3:20 PM · Track 4Don't Write Skills, Train Models (cont. 2/3)Brian DouglasWorkshops Day 33:20 PM · Track 5Don't Ship Skills Without EvalsPhilipp SchmidEvals3:20 PM · Track 6Generative UI... in Python?Jeremiah LowinDesign Engineering3:20 PM · Track 7How Web Data Infrastructure Powers the Next Generation of AIPatricija ŽemaitytėComputer Use3:20 PM · Track 8MCP Tasks (async)/ Why the heck aren't any agents supporting MCP tasks/async?Cornelia DavisContext Engineering3:20 PM · Track 9Benchmarks: The Good, the Bad, and the UglyAli KhialPosttraining & Midtraining3:20 PM · Track MDeploy agents to users in M365, Teams, and appsAshu JoshiTrack M3:45 PM · Expo Stage 1 NEModular: Taming the AI Hardware Cambrian ExplosionAbdul Dakkak3:45 PM · Expo Stage 2 NWBuilding on the Codex HarnessDominik Kundel3:45 PM · Expo Stage 3 SWStop Renting Intelligence: The Train-to-Deploy Loop for Specialized AIJetashree Ravi3:45 PM · Expo Stage 4 SERay Actors, Vision Tokens, and the GIL: Engineering an SFT Data Pipeline That Keeps GPUs BusyTarun Sunkaraneni3:45 PM · Leadership 1The Chief AI Officer: A framework for the emerging Swiss Army Knife of rolesRania KhalafAI Architects: Tokenmaxxing3:45 PM · Leadership 2The state of AI in software development: Insights across 400+ organizationsJustin ReockAI Architects: Tokenmaxxing3:45 PM · Main StageAutoresearch in a Multi-Agent AI VillageErina Karati, Arunachalam ManikandanAutoresearch3:45 PM · Track 1Building ambitious softwareJonathan KelleySandbox & Platform Engineering3:45 PM · Track 2I gave an AI a bodyCyrus ClarkeRobotics & World Models3:45 PM · Track 3LLM Knowledge Bases: a practical guideBen HolmesMemory & Continual Learning3:45 PM · Track 4Don't Write Skills, Train Models (cont. 3/3)Brian DouglasWorkshops Day 33:45 PM · Track 5Everything Is a RolloutAlex Shaw, Ryan MartenEvals3:45 PM · Track 6One Designer + Al. Hundreds of Deliverables.Vincent WendyDesign Engineering3:45 PM · Track 8The Universal Remote Control for AIAlex HancockContext Engineering4:30 PM · Main StageClosing KeynoteAddy OsmaniAutoresearch4:50 PM · Main StageTrends in AIGeorge Cameron, Micah Hill-SmithAutoresearch5:10 PM · Main StageClosing KeynoteWei-Lin ChiangAutoresearch

Thursday, July 2

171 sessions
8:30 AM · Networking RoomBattlefield setupStartup Battlefield9:00 AM · Main StageThe 2026 State of AI EngineeringBarr YaronHarness Engineering9:20 AM · Main StageTCP and RDMA are Killing Inference Throughput; Homa can Fix ItJohn OusterhoutSoftware Factories9:40 AM · Main StageThe Unreasonable Effectiveness of Separating the Task from the ModelMaxime Rivest, Isaac MillerHarness Engineering10:00 AM · Main StageHow Anthropic Builds: Lessons from LabsMike Krieger, swyx swyxHarness Engineering10:20 AM · Main StageThinner Agents on a Smarter Substrate: The Ontology-based Semantic LayerEmil EifremGraphs10:45 AM · Expo Stage 1 NEAI Engineering & Governance 2026 TrendsWallon WalusayiExpo Stage 110:45 AM · Expo Stage 2 NWYour Agent Can't Tell If It's RightWillem Pienaar10:45 AM · Expo Stage 3 SWNo, That's Not a Software FactoryRyan CookeExpo Stage 310:45 AM · Expo Stage 4 SEVector Isn't Enough: Hybrid Search & Retrieval for AI Engineers10:45 AM · Leadership 1Building safe payment infrastructure for machine-to-machine commerceJennifer LeeAgentic Commerce10:45 AM · Leadership 2The Agent Behind the Curtain: Building the Oz Cloud Agent PlatformSafia AbdallaAI Architects: AI Factories10:45 AM · Main StageTokens Should Have JobsKatelyn Lesse, Angela JiangHarness Engineering10:45 AM · Networking Room$100,000 AIE Startup Battlefield — presented by HyperagentHowie LiuStartup Battlefield10:45 AM · Track 1Training Krea 2 - What matters in generative model training.Sangwu LeeGenerative Media10:45 AM · Track 2Designing Multimodal Collaborative Agents for Next-Gen CommerceNidhi Kaushik VyasAgentic Commerce10:45 AM · Track 3ALPHALAB: Autonomous Multi-Agent Research Across Optimization Domains with Frontier LLMsBrendan RappazzoAI in Finance10:45 AM · Track 4State of the Union: Why Local, Why NowNader Khalil, Joseph Nelson, Alex Cheema, Ahmad Osman, Matthew BermanLocal AI10:45 AM · Track 5CrabRAG: Why Automated Assistants Need Graph Memory, Not More TokensStephen ChinGraphs10:45 AM · Track 6GTM Engineering: The Technical BitsEverett BerryAI in GTM10:45 AM · Track 7From Ambient Documentation to Clinical IntelligenceChaitanya AsawaAI in Healthcare10:45 AM · Track 8DeepSWE: expert code datasetsSerena GeAgentic Engineering10:45 AM · Track 9Operating Distributed Inference Systems at ScaleNishant Gupta, Naman AhujaInference10:45 AM · Track MDiagnosing agent failures in productionPamela FoxTrack M11:00 AM · Leadership LoungeThe Agentic Product Development OrganizationMartin Harrysson, Matt Linderman, Prakhar DixitCTO Circle11:10 AM · Expo Stage 1 NEBeyond RAG: See a relational context engine reduce token burnPeter Werry11:10 AM · Expo Stage 2 NWARIA, how we built autoresearch with autoresearchZubin Aysola11:10 AM · Expo Stage 3 SWThe Lethal Trifecta Is Already on Your Developers' LaptopsMichael Patterson11:10 AM · Expo Stage 4 SEYour AI Agent Has No Nervous SystemMatt Gibiec11:10 AM · Leadership 1Tribal Dungeons of Global Shipping: AI Agents at Global ScaleDmitry BuykinAI-Native Enterprises11:10 AM · Leadership 2FinOps for AI Agents: Who Spent All the Tokens?Tisha Chawla, Susheem KoulAI Architects: AI Factories11:10 AM · Main StageMCPs, CLIs, and Skills: Choosing the Right Tooling Layer for Agentic DevelopmentNikita KothariAgentic Engineering11:10 AM · Track 1HTML Is All Agents NeedJames RussoGenerative Media11:10 AM · Track 2Why Your AI Agent Needs a Wallet: Agentic commerce on Arc with USDC and NanopaymentsHarshal BhangaleAgentic Commerce11:10 AM · Track 3Why Off-the-Shelf AI Doesn't Understand MoneyUdi MenkesAI in Finance11:10 AM · Track 4State of the Union: Why Local, Why NowNader Khalil, Joseph Nelson, Alex Cheema, Ahmad Osman, Matthew BermanLocal AI11:10 AM · Track 5Active Graph Agent Runtime (BabyAGI 4)Yohei NakajimaGraphs11:10 AM · Track 6Reverse-Engineering the AI BuyerAliisa RosenthalAI in GTM11:10 AM · Track 7Guardrails First: Engineering Member-Facing Health AIRashi AgrawalAI in Healthcare11:10 AM · Track 8Anthropic's CCA Exam as a Field-Guide for Agentic EngineeringFrank CoyleAgentic Engineering11:10 AM · Track 9Routing LLM Inference in Production: From Engine Signals to PolicyQianru Lao, Lu ZhangInference11:10 AM · Track MTracing and debugging agents across systems with OpenTelemetryChang LiuTrack M11:40 AM · Expo Stage 1 NEThe Art of Building Verifiers for Computer Use AgentsMiguel González Fernández, Corby Rosset11:40 AM · Expo Stage 2 NWSeeing the Plumbing: Profiling vLLM Speculative Decoding on NVIDIA BlackwellSheilah Kirui11:40 AM · Expo Stage 3 SWVoice is the universal interfaceKwindla Kramer, Neil Zeghidour11:40 AM · Expo Stage 4 SEThe Next Run Should Be BetterJake Broekhuizen11:40 AM · Leadership 1All the Things We Have to Do to Satisfy Your Insatiable Need for TokensDaniel Kim, Michelle NguyenInference11:40 AM · Leadership 2What If Your Chip Design Team Moved Like a Single Body?Khaled Alashmouny, Abduallah MohamedAI Architects: AI Factories11:40 AM · Main StageAuth for Agents: Unblock Autonomous AI with auth.mdMichael GrinichAgentic Engineering11:40 AM · Track 1Building an Agentic Video Editor for Mass ConsumerEkaterina DeynekaGenerative Media11:40 AM · Track 2When AI Agents Pay and Sellers Monetize: Building x402 Apps for Agentic Commerce on AWSAnil NadimintiAgentic Commerce11:40 AM · Track 3Let's integrate AI Agents in Event-Sourced SystemsDivakar KumarAI in Finance11:40 AM · Track 4Demo: GLM 5.2 on DGX Station — Frontier Intelligence Under Your DeskAhmad OsmanLocal AI11:40 AM · Track 5Your Moat Is Your Data ModelMike PhippsGraphs11:40 AM · Track 6AI in GTM at NotionFlora LiuAI in GTM11:40 AM · Track 7Shipping AI to a Million Patients Without an A/B TestJared JoselowitzAI in Healthcare11:40 AM · Track 8Guide, Verify, Solve: The Engineering Discipline Agentic Development DemandsAnirban ChatterjeeAgentic Engineering11:40 AM · Track 9Are LLM Performance Benchmarks Reliable?Ashok Chandrasekar, Jason KrambergerInference11:40 AM · Track MBenchmarking VS Code with VSC-Bench: How to measure agent performanceRoss WollmanTrack M12:05 PM · Expo Stage 1 NEThe Missing Layer in Agentic AIGiedrius Steimantas12:05 PM · Expo Stage 2 NWWhile You Were Generating: The Verification Gap Nobody Talked AboutAli Adl-Tabatabai12:05 PM · Expo Stage 3 SWMove fast and (don’t) break thingsBen Dicken12:05 PM · Expo Stage 4 SEAgents That Forge Their Own Tools: Self-Modifying AI in the WildSandhya Subramani12:05 PM · Leadership 1Stop Model Shopping: Why Ownership Beats Choice in the Agent StackPranay BhatiaInference12:05 PM · Leadership 2Preferences > Benchmarks: Model Routing for How Teams Actually BuildArchana Kamath, Tyler GillamAI Architects: AI Factories12:05 PM · Main StageHarness Engineering: Building the Production Cage for Powerful Domain AgentsMike ChambersHarness Engineering12:05 PM · Track 1The Next Game Engine Won't Have a ManualArturo NunezGenerative Media12:05 PM · Track 2x402 isn’t good (yet)Jan CurnAgentic Commerce12:05 PM · Track 3How Kepler Built Verifiable AI for Financial ServicesVinoo GaneshAI in Finance12:05 PM · Track 4Local AI DemosLocal AI12:05 PM · Track 5From Systems of Record to Systems of ContextOmri BruchimGraphs12:05 PM · Track 6The Building Blocks of GTM OrchestrationArman VaziriAI in GTM12:05 PM · Track 7200 Million Patient Interactions Later: What the Generic Voice Stack MissesVivek MuppallaAI in Healthcare12:05 PM · Track 8Benchmarking Coding Agents on New vs Legacy Code basesDenys LinkovAgentic Engineering12:05 PM · Track 9Vertical Mobility: Building an AI Inference Platform That Scales from MVP to Trillion-Parameter WorkloadsRita Zhang, Sitanshu GuptaInference12:05 PM · Track MDesign multi-agent systems that actually workTina ManghnaniTrack M12:30 PM · Expo Stage 2 NWLatent Space Live: the Inference Inflection from First Principlesswyx swyx, Rob WachenExpo Stage 21:30 PM · Expo Stage 1 NETrust, But Verify: Human-in-the-Loop for Agents That Actually MatterMichael Liendo1:30 PM · Expo Stage 2 NWYOLO Mode, Safely: microVM Sandboxes for Any AgentRowan Christmas1:30 PM · Expo Stage 3 SWYour Model is Private. Your System Isn't.Joshua Mo1:30 PM · Expo Stage 4 SEVideo Discovery for Agentic World-Model TrainingRafael Levi1:30 PM · Leadership 1From Zero to AI-Native: Scaling AI Across the OrgJosh LeavittAI-Native Enterprises1:30 PM · Leadership 2Coding Agents Don't Scale Themselves. Neither Do Your Teams.The Rise of Agent Enablement.Patrick DeboisAI Architects: AI Factories1:30 PM · Main StageLoophole - Adversarial Agents To Stress Test Your MoralityBrendan RappazzoHarness Engineering1:30 PM · Track 1While my guitar gently speaksTodd FisherGenerative Media1:30 PM · Track 2Agent Spending Without Controls: The Missing Infrastructure Layer for AI Pa…Rodrigo Coelho, Pranav MaheshwariAgentic Commerce1:30 PM · Track 3Build for the Memo, Not the Demo — Notes from 200 Investment CommitteesShawn ChanAI in Finance1:30 PM · Track 4Local Models: Trust, Control, OptimizationCarter Abdallah, Vincent Weisser, Lucas Atkins, Chris AlexiukLocal AI1:30 PM · Track 5AI : Learned Execution Graphs for Real-Time Anomaly Detection & Drift Classification in APIsRitvik PandyaGraphs1:30 PM · Track 6How Juries and Librarians Can Solve GTM's AI Trust ProblemAlex BauerAI in GTM1:30 PM · Track 7Al is becoming the World's largest Relationship Therapist. We Can't Afford to Get it Wrong.Clay Cockrell, Tony FabrikantAI in Healthcare1:30 PM · Track 8Codex, Behind the HarnessDominik KundelAgentic Engineering1:30 PM · Track 9What's New in Inference EngineeringPhilip KielyInference1:30 PM · Track MEvaluating and optimizing AI agents: from observability to continuous improvementChang LiuTrack M1:55 PM · Expo Stage 2 NWMCP doesn’t suck — your agent doesJan Curn1:55 PM · Expo Stage 4 SEEveryone talks about document search, but what about results?George He1:55 PM · Leadership 1Which AI startups actually land enterprise contracts? Lessons from evaluating 100+ AI startups at Millennium ManagementBrian LewisAI-Native Enterprises1:55 PM · Leadership 2Agent Frameworks Considered HarmfulRémi LoufHarness Engineering1:55 PM · Main Stage🎵 Every step you take, every call you make - the reliable agent stackGiselle van DongenHarness Engineering1:55 PM · Track 1Voice agents with Realtime VideoLina ColucciGenerative Media1:55 PM · Track 2Teaching agents to payAnna SpyszAgentic Commerce1:55 PM · Track 3We Vetted 2,000 AI Skills Before They Reached DevelopersLucas PalmaAI in Finance1:55 PM · Track 4Local Models: Trust, Control, OptimizationCarter Abdallah, Vincent Weisser, Lucas Atkins, Chris AlexiukLocal AI1:55 PM · Track 5Why Agentic Systems Need OntologiesFrank CoyleGraphs1:55 PM · Track 6How We Got LLMs to Recommend Our Open Source Library (Without Paying or Plug-ins)Christopher BurnsAI in GTM1:55 PM · Track 7Healthcare’s Agent Bytecode: X12 as the Harness for AI AgentsVasant KearneyAI in Healthcare1:55 PM · Track 8Multiplayer agentic engineering: enabling your whole team and your best agents to work togetherArjun SinghAgentic Engineering1:55 PM · Track 9Large clusters for small modelsDaniel SvonavaInference1:55 PM · Track MBlast Radius Zero: One‑Command OpenClaw Sandboxes in the CloudArun SekharTrack M2:00 PM · OpenAI BoothAMA with Theo Browne (@t3.gg)Theo BrowneBooth Activation2:25 PM · Expo Stage 1 NEOptimizing Open Models for Production Grade InferenceSujee Maniyam, Dylan Bristot2:25 PM · Expo Stage 2 NWImproving AIE: Q&A and Feedback Sessionswyx swyxExpo Stage 22:25 PM · Expo Stage 3 SWThe Human Is an Async APIMelanie Warrick2:25 PM · Leadership 1Your Hero Agent Needs a PartyKunal LanjewarAI-Native Enterprises2:25 PM · Main StageWe let an AI agent execute Bash and lived to talk about itSarah SandersHarness Engineering2:25 PM · Track 1Generative Video at the Speed of LightKeegan McCallumGenerative Media2:25 PM · Track 2The Agentic Commerce StackAhnaf PrioAgentic Commerce2:25 PM · Track 3Your Finance Agent's Bottleneck Is YouRamana Siddanth EmaniAI in Finance2:25 PM · Track 4Compression at the EdgeChris Alexiuk, Daniel Han, Asma Beevi, Merve Noyan, Parth SareenLocal AI2:25 PM · Track 5Video Has No Memory. Here's How We Built One.James LeGraphs2:25 PM · Track 6Knowledge Systems: The New GTM StackJeffrey WangAI in GTM2:25 PM · Track 7Trading Desks to Clinical Trials: Parallels in Applied Vertical AIAyush BhardwajAI in Healthcare2:25 PM · Track 8Always-on agents run production without the on-call taxJustin SmithAgentic Engineering2:25 PM · Track 9The Frontier AI Inference Cloud for AgentsByung-Gon (Gon) ChunInference2:25 PM · Track MOperate agents safely at scale with enterprise governanceAshu JoshiTrack M2:50 PM · Expo Stage 1 NEHarness Engineering: The New Core Skill for Agentic DevelopersDru Knox2:50 PM · Expo Stage 3 SWSmall Claws Are Beautiful: Edge Agents with NanoClaw, Raspberry Pi, and Graph MemoryJeremy AdamsExpo Stage 32:50 PM · Expo Stage 4 SEThe Software Factory2:50 PM · Leadership 1AI Agents Are Just Distributed Systems NowSalman MunafAI-Native Enterprises2:50 PM · Leadership 2Inside 847 Production Clinical AI NotesSebastian FoxAI Architects: AI Factories2:50 PM · Main StageNo Memory, No Harness: Why the Database Is the Last Line of DefenseKay MalcolmHarness Engineering2:50 PM · Track 1Infra behind Krea 2 - How to train and serve at scaleGabriel Jorge MenezesGenerative Media2:50 PM · Track 2Your Agent Just Authorized What?!Jay MokAgentic Commerce2:50 PM · Track 3Simulation-Maxxing: How Nubank ships agents 20× faster with simulationsShreya Rajpal, Aman GuptaAI in Finance2:50 PM · Track 4Compression at the EdgeChris Alexiuk, Daniel Han, Asma Beevi, Merve Noyan, Parth SareenLocal AI2:50 PM · Track 5On-Device Agentic AI for the New York Times GamesShafik Quoraishee, Joanne SongGraphs2:50 PM · Track 6How AI Agents Let GTM Teams ScaleJustin JoyceAI in GTM2:50 PM · Track 7How to build an AI-Native Health CompanyDan FengAI in Healthcare2:50 PM · Track 8Realtime multiplayer, automation, and you!Idan GazitAgentic Engineering2:50 PM · Track 9KV Cache-Aware Routing and P/D Disaggregation on Kubernetes: The Parts Public Benchmarks Don't ShowYuchen Fama, Ashish KamraInference3:20 PM · Expo Stage 1 NEAgent Memory Is a Solved Problem. Agent Learning Is Not.Karthik Ranganathan, Heather Downing3:20 PM · Expo Stage 2 NWImproving AIE: Q&A and Feedback Session (repeat)swyx swyxExpo Stage 23:20 PM · Expo Stage 3 SWAn Interaction Is All You NeedIvan LeoExpo Stage 33:20 PM · Expo Stage 4 SEAn AI Future Without the Lock-InRemy Guercio3:20 PM · Leadership 1The Signal Layer: What to Build When Anything Can Be BuiltLena HallAI-Native Enterprises3:20 PM · Leadership 2Give the Agent a Budget, Not a TokenSachin MalhotraAI Architects: AI Factories3:20 PM · Main StageHow we Solved Agent BuildingAndrew QuHarness Engineering3:20 PM · Track 1The Next Medium: Why Real-Time Interactive Video Changes Everything for DevelopersAhmed AhresGenerative Media3:20 PM · Track 2The End of the Static Screen: Architecting Intent-Driven UX with Agentic OrchestrationGus IwanagaAgentic Commerce3:20 PM · Track 3Skills are new features: Building Skill-Centric Harness for Agentic ProductsYogendra MirajeAI in Finance3:20 PM · Track 4Model RoutingNader Khalil, Walden Yan, Tanay Varshney, Alex AtallahLocal AI3:20 PM · Track 5Citation Needed: Provenance for LLM-Built Knowledge GraphsDaniel ChalefGraphs3:20 PM · Track 6Building GTM AI Agents: Lessons from Deploying to 6,000 UsersSait IzmitAI in GTM3:20 PM · Track 7Don't be data poorAnuj IravaneAI in Healthcare3:20 PM · Track 8Velocity Sickness: What Happens When Your Whole Team Gets 10x FasterMatt DaileyAgentic Engineering3:20 PM · Track 9Two Bugs That Hid in Plain Sight: A vLLM Debugging Detective StoryAsaf Gardin, Yuval BelferInference3:45 PM · Expo Stage 1 NETaking Reinforcement Learning Cross DatacenterNan Jiang3:45 PM · Expo Stage 2 NWDashboards are DeadSarah Simionescu3:45 PM · Leadership 1Tell the Robot What You WantSandhya SubramaniAI-Native Enterprises3:45 PM · Main StageAgents Without Code: How Skills, YAML, and Filesystems Replaced PythonPhilipp SchmidHarness Engineering3:45 PM · Track 2Beyond the Lethal Trifecta: Agentic Commerce on the Open Internet at Machine SpeedDavid LevineAgentic Commerce3:45 PM · Track 3Wearing the Agent: Engineering a Family-and-Friends Personal Agent, from Group Chats to GlassesSai Krishna RallabandiAI in Finance3:45 PM · Track 4Model RoutingNader Khalil, Walden Yan, Tanay Varshney, Alex AtallahLocal AI3:45 PM · Track 5Why We Killed Our Multi-Agent Pipeline: Lessons From Pharma Commercial IntelligenceSubbiah Sethuraman, Abhilash AsokanGraphs3:45 PM · Track 6The Death of Developer AdvocatesStephanie JarmakAI in GTM3:45 PM · Track 7Why Your Enterprise Tech Stack Isn't Ready for AI Agents - And What to Build InsteadChristopher Lovejoy, Saul HowardAI in Healthcare3:45 PM · Track 8Open Source Is Dead. Long Live Open Source.Saoud RizwanAgentic Engineering3:45 PM · Track 9Weight Folding, CUDA Streams, and the Bug That Made My Model Speak BackwardsFilip MakraduliInference4:30 PM · Main StageClosing Keynote — Theo BrowneTheo BrowneMain Stage4:50 PM · Main StageClosing Keynote: Garry TanGarry TanMain Stage5:10 PM · Main StageStartup BattlefieldHowie Liu, Joshua Xu, swyx swyxMain Stage