review-and-refactor

To refactor a codebase safely, you need a non-destructive approach that identifies code smells, proposes changes preserving external behavior, and ensures tests pass. This process focuses on cleanup and alignment with established guidelines while documenting the rationale for each modification.

The best way to plan a safe code refactor is using a guided review process that collects established checks to surface anti-patterns. This generates a step-by-step plan ensuring deterministic, non-destructive changes with test preservation.

Proper refactoring should not break existing tests. The process requires non-destructive changes that explicitly preserve functionality and maintain testing alignment, ensuring all tests continue to pass after the code quality improvements are applied.

You can identify code smells by applying a guided code review mechanism that collects established guidelines and checks against your codebase. This systematically surfaces maintainability issues and anti-patterns for targeted cleanup.

Yes, automated refactoring is highly applicable to long-lived codebases. It systematically targets code quality issues by proposing deterministic changes that clean up the architecture while strictly preserving the software's external behavior.