Two speakers, multiple AI coding agents, real IoT hardware, and a bet: the context you give your agent matters more than which agent you pick.

Live on stage, starting from an empty directory: control IoT devices, build a face recognition pipeline, and drive physical hardware as a real-time visual feedback system with real devices reacting to code written by AI in real time.

The easy parts work fine, but then the hardware and the API disagree about something the documentation doesn't mention, both agents produce code that runs, passes every check, and is completely wrong. We change what the agent knows (using spec-driven development, intent integrity chains, and structured context engineering) and the audience sees exactly what that fixes, what it breaks next, and how the every next failure is worse than the first.

7 deliveries including Devoxx Belgium, Devoxx Poland, JFokus 2026, and BaselOne. Co-presented with Viktor Gamov. Physical IoT hardware on stage — smart bulbs, camera feed, LED light bars respond to face recognition in real time. Audience sees the agents succeed and fail with real devices, not slides. Scales from 45-min (core IoT demo) through 75-min (full stage progression) to 2-3 hours (additional rounds, spec-driven development with iikit/OpenSpec/Kiro, methodology deep dives). Strong closing keynote candidate — the visual spectacle of hardware responding to code written live is a crowd favorite.