clean-code-guard

To review AI-generated code for clean code violations before merge, apply a PR audit pass that detects unsafe abstractions, swallowed errors, and fake success paths. It enforces SOLID, DRY, KISS, and YAGNI principles to ensure maintainability.

Behavior-preserving refactoring is cleanup work that maintains observable software functionality without altering outputs. You verify it using a refactor safety pass to ensure simplification efforts do not introduce unintended behavior changes.

Yes, you can use a clean code review across programming languages. It applies to pull request reviews, refactoring checks, and merge-readiness audits regardless of the specific tech stack being evaluated.

The best way to audit a pull request for maintainability defects is running a structured review mode that prioritizes findings. It checks naming clarity, small functions, explicit error handling, and removes dead production code without editing files.

Plausible-looking AI code hides maintainability defects because it often conceals duplication, weak abstractions, and swallowed errors behind syntactically correct structures. A post-generation guard pass detects these AI-specific failure patterns before release.