generator-cleanup-audit

To safely clean up generator code, identify behavior-preserving refactoring opportunities and sequence them to preserve public-output coverage. This approach ensures the emitted output remains unchanged during large AI-assisted change sets in the generator layer.

A behavior-preserving cleanup is a refactoring action that improves code quality without altering the generator's emitted output. It requires documented cleanup patterns and test coverage to verify that regeneration yields identical public outputs.

Audit generator code after AI-assisted changes by reviewing emission paths for safe cleanup opportunities. Use this auditing process to sequence refactoring steps, verify test coverage, and prevent regressions in components like RefitInterfaceGenerator.

Sequence generator cleanups during large AI-assisted change sets in the generator layer. Proper sequencing with safeguards against ordering or dependency changes prevents regression risk and maintains public-output stability.

Yes, refactoring generator emission paths requires test coverage for public output to verify the emitted output remains unchanged. This test coverage acts as a safeguard against breaking changes during regeneration.

Limitations include the requirement for documented cleanup patterns and existing test coverage. Without these safeguards, cleanups risk altering ordering or dependencies, potentially changing the emitted output and causing regressions.