You now know how to take AI code to production. Review diffs for unintended changes. Write tests before prompting. Build CI/CD pipelines that catch AI mistakes automatically.
Document AI decisions in ADRs. Establish team conventions for consistent AI usage. Monitor AI code in production and know when to rewrite instead of iterate.
Next, you'll see these principles applied in real-world case studies.