We dogfood our own product to build itself. The post walks through the actual workflow: a one-liner becomes a structured spec with acceptance criteria, the spec becomes implementation tasks scoped to specific files, and an AI agent executes them sequentially with validation after each step.

The interesting part is the review layer — AI traces each acceptance criterion to specific lines in the PR diff, catching semantic gaps that lint and type-check miss.

We also run browser tests against the live deployment with database-level verification. Happy to answer questions about the tooling or where it breaks down.