What we've learned shipping production systems. AI, architecture, and 25 years of pattern recognition.
What happens when an AI agent reads a scenario document and executes it on a real iOS simulator, adapting to layout shifts, verifying with screenshots, and writing the report itself. No XCUITest. No Appium. The scenario documents are the tests.
Your team ships 5x the code it did 18 months ago. AI-generated code looks confident, it compiles, tests pass. The failure modes are real and invisible until they aren't. Here's why junior engineers can't review it, and what senior eyes actually catch.
Agents that plan, tool, loop, and occasionally do exactly the wrong thing at exactly the wrong moment. After building agentic systems in production, here's the honest accounting.
Model Context Protocol connects your AI to live business data. That's powerful. It's also a new attack surface. Prompt injection, tool poisoning, over-permissioning, here's the full picture.
12 years dispatching 400 assets simultaneously across four countries. What the architecture looks like, what failed, what we'd do differently, and what the E.ON VPP teaches about real-time systems at TSO grade.