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
Beyond the Codebase: Giving Coding Agents the Business Context They're Missing
Coding agents can read your entire codebase — and still make confidently wrong decisions. The code tells them how the system works, but not why: the business rules, the domain language, the "we always check X first," the service that was renamed two years ago that three teams still call by its old name. That knowledge lives outside the code — in people's heads, stale wikis, and closed tickets — and your agent can't see it. This talk is about engineering that missing non-code context into something an agent can actually use: structured, bounded, lightly-typed knowledge (ontologies without the RDF/OWL pain), kept current and honest instead of dumped into a vector store. I'll show why one giant knowledge corpus rots — and how bounded contexts fix it — how to keep the knowledge self-evolving, and where it still breaks. You'll leave with a repeatable method and an open-source toolkit to try on your own domain next week.
Save your seat before it fills.
Early pricing runs while the programme is still being finalised.