On the AI question: a lot of bhatti's code came out of an LLM. The discipline I held onto was the boring kind — long planning docs before each chunk, integration tests against a real Pi cluster at home (no mocks for the VM path), atomic ship/test cycles. Every plan and every experiment is in docs/archive on the repo, both as a credibility receipt and so anyone who wants to fork can see how it was actually planned.