Author here. This is a detailed (8,000+ word, plus 2 companion pieces) walk-through of building loops for code generation and verification, complete with artifacts and detailed explanations to allow you to implement any of these techniques.

We walk through building: - an evaluation contract, evaluator and stopping conditions to minimize bugs - establishing an environment and priming AI to produce production-quality tests and code - detecting and correcting common AI failure modes - building a learning loop to monitor and improve all phases.

I'd love to get your feedback!

Brad