For developers: this programme is open data — JSON, iCal, schedule XML and an MCP endpoint.Show endpointsHide
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Showing 35 of 35 sessions · 3 days · 3 tracks
Tuesday, September 15
13 sessions9:00 AM · Room 2AUPDATED: Taming 40-Minute CI: Incremental Builds at Monorepo ScalePriya RamanPlatform & Infra9:45 AM · Room 2AContext Engineering in Production: What Actually Survives Contact With UsersPriya RamanAI Engineering10:30 AM · Main StageYour AI Pair Programmer Is Lying to You: Verification Patterns That ScaleDana KowalskiAI Engineering10:30 AM · Room 2AThe Edge Database You Already Have: SQLite Patterns for Global AppsElena VasquezPlatform & Infra10:30 AM · Room 2BStreaming Structured Output: UX Patterns Beyond the Token FirehoseRaj PatelDeveloper Experience11:15 AM · Main StageMulti-Agent Systems Are Just Distributed Systems (And That's Good News)Yuki TanakaAI Engineering11:15 AM · Room 2ATaming 40-Minute CI: Incremental Builds at Monorepo ScaleMarcus OkaforPlatform & Infra11:15 AM · Room 2BDesign Systems for AI Products: Calm Interfaces for Chaotic ModelsGrace LiuDeveloper Experience1:15 PM · Main StagePrompt Injection Is a Solved Problem (If You Do These Five Things)Amara DialloAI Engineering1:15 PM · Room 2ATen Wrong Turns Migrating a Data PlatformDiego RamirezPlatform & Infra1:15 PM · Room 2BDeveloper Platforms People Actually Adopt: Lessons From Three FailuresSofia LindqvistDeveloper Experience1:35 PM · Room 2AReading Eval Traces Like a DetectiveElena VasquezAI Engineering3:15 PM · Main StagePanel: What Breaks When AI Products Meet Real UsersGrace Liu, Tom Achebe, Kwame Mensah, Aisha RahmanAI Engineering
Wednesday, September 16
12 sessions9:30 AM · Main StageHuman in the Loop, For Real: Clinical AI Under ReviewKwame MensahAI Engineering10:30 AM · Main StageOn Call for a Model: Reliability Practices for Inference PlatformsNina BergPlatform & Infra10:30 AM · Room 2APostgres to the Edge: A Migration Post-MortemOmar HaddadPlatform & Infra10:30 AM · Workshop LabEvals Are Your Only Moat: Building Test Suites for LLM ProductsTom Achebe, Hana SatoAI Engineering11:15 AM · Main StageYour Legacy Systems Are the Hard PartBen OyelaranPlatform & Infra11:15 AM · Room 2AScheduling GPU Work Without a Scheduler TeamTheo WhitfieldPlatform & Infra11:15 AM · Room 2BUndo Is a Feature: Designing Reversibility Into AI ProductsInes MoreauDeveloper Experience1:15 PM · Main StageGrowing an Engineering Org Around an AI ProductAisha RahmanDeveloper Experience1:15 PM · Room 2BDeleting Internal Tools: A Year of Saying NoZoe KimuraDeveloper Experience2:15 PM · Main StageCutting Our Inference Bill in Half Without Touching QualityFelix BraunPlatform & Infra2:15 PM · Room 2AThe Support Queue Is Your Best Eval SetLeila FarsiAI Engineering3:15 PM · Main StageClosing Keynote: The Boring Future of AI EngineeringBen OyelaranAI Engineering
Thursday, September 17
8 sessions9:45 AM · Main StageThe Accessibility Debt of AI InterfacesInes MoreauDeveloper Experience10:15 AM · Room 2AWorkshops That Don't Waste an AfternoonClara NovakDeveloper Experience10:15 AM · Workshop LabFine-Tuning Is Back: Small Models for Narrow JobsHana SatoAI Engineering10:30 AM · Main StageWriting the Safety Spec Before the FeatureLeila FarsiAI Engineering11:15 AM · Main StageThe Cost of a Token: FinOps for LLM ProductsOmar HaddadPlatform & Infra11:30 AM · Workshop LabKeeping 3,000 Demos Online: Event Networks Under LoadMarco BianchiPlatform & Infra12:30 PM · Room 2ACompiling Models to the Edge: A Toolchain TourIvan PetrovPlatform & Infra2:00 PM · Room 2BBuying AI in a Big Company: A Field GuideAndre LucasDeveloper Experience