Two days, built for engineers.
Sessions, keynotes, and breaks across every stage. Released day by day as the lineup locks in.
Where to be, and when.
- 09:30 – 10:15CupertinoSpec-Driven Development: Making AI Coding Assistants Build What You Actually WantSoftware Architecture & Engineering ExcellenceRoland Huß
- 10:30 – 11:15RedmondPipeline Patterns and Antipatterns - Things your Pipeline Should (Not) DoCloud, DevOps & Platform EngineeringDaniel Raniz Raneland
- 10:30 – 11:15Los GatosKnowledge is the infrastructure. Everything else is just tooling.AI Engineering & DataDaniel Ostrovsky
- 10:30 – 11:15CupertinoWhy Your Best Engineer Makes Your Worst First-Time Manager?Engineering careersAleksandra Lemańska
- 10:30 – 11:15Palo AltoDesigning Reliable Distributed Systems: Failures, Retries & IdempotencyCloud, DevOps & Platform EngineeringVioletta Pidvolotska
- 11:30 – 12:15CupertinoDealing with eventual consistencySoftware Architecture & Engineering ExcellenceDennis van der Stelt
- 11:30 – 12:15Los GatosDebugging Intelligence: How Do You Debug a System That Is Thinking?Cloud, DevOps & Platform EngineeringNishant Gupta
- 11:30 – 12:15RedmondFrom Infrastructure Metrics to Business Impact: Measuring Reliability Where It MattersCloud, DevOps & Platform EngineeringTomasz Szarek
- 11:30 – 12:15Palo AltoBeyond the Codebase: Giving Coding Agents the Business Context They're MissingAI Engineering & DataRaj Navakoti
- 12:30 – 13:15CupertinoUnderstanding at machine speed with thousands of contextual toolsAI Engineering & DataTudor Girba
- 12:30 – 13:15Los GatosSearch as Code: The Infrastructure Behind Long-Running AgentsAI Engineering & DataAleksandr Nikolenko
- 12:30 – 13:15Palo Alto"AI: The Whole Company, or Nothing"Engineering careersAgur Jõgi
- 13:30 – 14:15CupertinoAgents as a Workload: Platform Engineering for Autonomous SystemsCloud, DevOps & Platform EngineeringAiswarya Venkitesh
- 13:30 – 14:15Los GatosMagical Mystery Tour: A Roundup of Observability DatastoresCloud, DevOps & Platform EngineeringJosh Lee
- 13:30 – 14:15Palo AltoThe Missing Paper Trail for Agentic EngineeringAI Engineering & DataRizèl Scarlett
- 13:30 – 14:15RedmondBuilding an AI Inference PlatformAI Engineering & DataMichał Dojlidko
- 14:30 – 15:15CupertinoThe Typing Got Cheap. The Judgment Didn't: An Infrastructure Engineer's Year with AI AgentsAI Engineering & DataSachin Malhotra
- 14:30 – 15:15Los GatosForward-Adopt: Shipping Product Today on Tomorrow's PlatformSoftware Architecture & Engineering ExcellenceMisha Kazakov
- 14:30 – 15:15RedmondDesigning the ultimate software engineering checklistSoftware Architecture & Engineering ExcellenceAntonio Olmo Titos
- 14:30 – 15:15Palo AltoHow Hellofresh Group orchestrates agent teams for marketing outcomesAI Engineering & DataAlan-Michael Khalil
- 15:30 – 16:15CupertinoIntentional ReliabilityCloud, DevOps & Platform EngineeringNiall Murphy
Forward-Adopt: Shipping Product Today on Tomorrow's Platform
Platform teams move slower than product teams, so you need to make the same choice over and over again: ship on the old platform and quietly increase tech debt, or wait for the new tooling and delay product delivery. There's a third option. Forward-adopting means building toward the platform's future direction before the official abstraction exists, so product ships on time and the eventual migration becomes mechanical instead of expensive. This talk covers three patterns for doing it (using the future foundation directly, Strangler Fig behind a facade, and Ports & Adapters), each with a Netflix case study, wins and trade-offs. Ports & Adapters is an existing pattern we've extended at Netflix to ship ReactJS UIs faster and in a more scalable way.
Save your seat before it fills.
Early pricing runs while the programme is still being finalised.