The Bitter Lesson Stops at the Lab Door
The hard part of AI is not getting a model to perform in a demo. It is connecting it to real systems, giving it usable context, and keeping it under control once it matters.
The hard part of AI is not getting a model to perform in a demo. It is connecting it to real systems, giving it usable context, and keeping it under control once it matters.
AI coding agents increase output, but they also increase pressure on code review and branch management. Stacked pull requests and isolated worktrees help keep changes small and …