Talks for teams building with agents.

Most teams reach for a better prompt when agents break. The leverage is in the harness: the tests, specs, context and feedback loops that make a class of mistakes structurally impossible. Four years of hiring around the model, from data scientists to prompt engineers to context engineers to harness engineers, and what we run at AutonomyAI.

Designers and PMs are shipping real, mergeable pull requests on real codebases. That removes the design-to-engineering translation step, and it changes what a designer is for. A live demo, plus the uncomfortable part: what happens to taste when generation is cheap and every app starts to look the same.

AI did not remove our bottleneck, it moved it. Code generation stopped being the constraint; review, coordination and architectural alignment became the pressure points. Merge rate became the signal that told us whether the team was adapting or drowning. Real PR data, process breakdowns, and what we would do differently.