I simply don't want to review AI code in depth.

I used to do it but now I only review code organization and structure.

Mostly I define the product behavior I want and discuss the technical implementation beforehand.

Once that's in a spec I let it build in my durable implementation engine. Automated verification, review rounds from different agent types across different models, issues triaged into meaningful clusters and flagged for false positives before finally being fixed.

That loops until the code is up to spec.

There is no special secret, LLMs need repetition and multiple passes.

They'll one shot bigger and bigger things in their default harnesses but they'll be filled with issues no matter what.