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 WantOnlineSoftware Architecture & Engineering ExcellenceRoland Huß
- 10:30 – 11:15CupertinoWhy Your Best Engineer Makes Your Worst First-Time Manager?OnlineEngineering careersAleksandra Lemańska
- 10:30 – 11:15Palo AltoDesigning Reliable Distributed Systems: Failures, Retries & IdempotencyOnlineCloud, DevOps & Platform EngineeringVioletta Pidvolotska
- 10:30 – 11:15RedmondPipeline Patterns and Antipatterns - Things your Pipeline Should (Not) DoOnlineCloud, DevOps & Platform EngineeringDaniel Raniz Raneland
- 10:30 – 11:15Los GatosKnowledge is the infrastructure. Everything else is just tooling.OnlineAI Engineering & DataDaniel Ostrovsky
- 11:30 – 12:15Los GatosDebugging Intelligence: How Do You Debug a System That Is Thinking?OnlineCloud, DevOps & Platform EngineeringNishant Gupta
- 11:30 – 12:15CupertinoDealing with eventual consistencyOnlineSoftware Architecture & Engineering ExcellenceDennis van der Stelt
- 11:30 – 12:15Palo AltoBeyond the Codebase: Giving Coding Agents the Business Context They're MissingOnlineAI Engineering & DataRaj Navakoti
- 11:30 – 12:15RedmondFrom Infrastructure Metrics to Business Impact: Measuring Reliability Where It MattersOnlineCloud, DevOps & Platform EngineeringTomasz Szarek
- 12:30 – 13:15CupertinoUnderstanding at machine speed with thousands of contextual toolsOnlineAI Engineering & DataTudor Girba
- 12:30 – 13:15Palo Alto"AI: The Whole Company, or Nothing"OnlineEngineering careersAgur Jõgi
- 12:30 – 13:15Los GatosSearch as Code: The Infrastructure Behind Long-Running AgentsOnlineAI Engineering & DataAleksandr Nikolenko
- 13:30 – 14:15Palo AltoThe Missing Paper Trail for Agentic EngineeringOnlineAI Engineering & DataRizèl Scarlett
- 13:30 – 14:15RedmondAnnounced soonAkamai
- 13:30 – 14:15CupertinoAgents as a Workload: Platform Engineering for Autonomous SystemsOnlineCloud, DevOps & Platform EngineeringAiswarya Venkitesh
- 13:30 – 14:15Los GatosMagical Mystery Tour: A Roundup of Observability DatastoresOnlineCloud, DevOps & Platform EngineeringJosh Lee
- 14:30 – 15:15RedmondDesigning the ultimate software engineering checklistOnlineSoftware Architecture & Engineering ExcellenceAntonio Olmo Titos
- 14:30 – 15:15CupertinoThe Typing Got Cheap. The Judgment Didn't: An Infrastructure Engineer's Year with AI AgentsOnlineAI Engineering & DataSachin Malhotra
- 14:30 – 15:15Los GatosForward-Adopt: Shipping Product Today on Tomorrow's PlatformOnlineSoftware Architecture & Engineering ExcellenceMisha Kazakov
- 14:30 – 15:15Palo AltoAnnounced soonOnlineHelloFresh
- 15:30 – 16:15CupertinoIntentional ReliabilityOnlineCloud, DevOps & Platform EngineeringNiall Murphy
Understanding at machine speed with thousands of contextual tools
As AI accelerates code generation, it becomes impossible to ignore the real bottleneck in software development: making sense of systems. In truth, this has always been the largest cost. Code reading never really worked as a scalable solution because it is the most manual way to extract information from a system. Today, that limitation is even sharper: systems are too large, and AI produces code too fast. Reading does not scale, and we should stop relying on it as the primary means of informing ourselves about our systems. Instead, we should augment human cognition with deterministic, contextual tools built for each problem. These tools that compress the system around the question at hand and help both humans and AI explore and reason faster. We call this Moldable Development. It enables teams to see their systems clearly and answer system questions quickly. These contextual tools do not help only people: they also help AI agents make sense of systems. Spread throughout the system, they become contextual skills and form an extensible kind of agent memory. What exactly is a contextual tool? Come to the talk to see live examples built with Glamorous Toolkit, the free and open-source environment that helps you understand and steer systems through thousands of contextual tools.
Save your seat before it fills.
Early pricing runs while the programme is still being finalised.