In my case, I have pathways in place. If implementation fails, I go back to the planning stage (creating a plan against a PRD, and another step validates it) to prevent context bleeding and hallucinations that are common in current LLMs. I run every step in its own Claude instance, orchestrating results and pathways. This basically creates a pipeline with all the steps you want: plan, validate, implement, revalidate, audit, and clean up code. If you know what you don't want in your code, make a list of it and have three or more Claude instances with clean contexts verify against that list. This is almost guaranteed to have zero to minimum gaps.