CI gates for AI-generated code: stop risky changes before they reach production
How to build lightweight CI gates that catch risky AI-generated code patterns — scope creep, leaked secrets, bad dependencies, data destruction, security holes, and test mirages — before they reach production. With implementation examples for GitHub Actions and GitLab CI.

