ywc-refactor-clean

Dead code removal is automated by classifying findings into safety tiers and enforcing a per-item verification loop with test suite validation. This approach classifies findings into SAFE, CAUTION, and DANGER tiers to ensure high-risk deletions are handled with human oversight.

Automating unused exports and stale dependency cleanup requires classifying findings into safety tiers and enforcing per-batch test verification. This ensures byte-for-byte equivalence and prevents behavioral regressions across various programming ecosystems.

Yes, automated dead code cleanup integrates with language-specific detection tools like knip, vulture, or deadcode. These tools identify unused code, while the cleanup process enforces reference checking and test validation before removal.

Preventing regressions during a codebase hygiene pass requires a strict discipline of detection, grep-based reference checking, and per-batch test verification. This mandatory verification loop guarantees system stability when removing unused code or redundant utilities.

Automated dead code removal should be approached with caution for high-risk deletions classified in the DANGER tier. These items require human oversight, and the process should not bypass the mandatory per-item verification loop to avoid behavioral regressions.