Refactor Safely

Safe function renaming requires dependency-aware planning to preview all affected locations and blast radius before applying changes. This approach verifies system integrity post-refactor by running change detection to validate the impact on complex code graphs.

Dead code detection identifies unreferenced code paths for safe cleanup by analyzing dependencies across the codebase. This ensures removal targets only unused modules without breaking active flows, validating post-change effects to maintain system integrity.

Dependency analysis reduces refactoring breakage by mapping complex code graphs to plan transformations and verify post-change effects. It calculates the impact radius of modifications, ensuring affected flows are checked before and after applying structural changes.

Yes, you can preview the blast radius of code cleanup tasks by running a minimal-context refactor plan. This generates dependency-aware suggestions and impact-radius checks, allowing you to approve transformations before they are applied and verified.

Refactoring with guardrails supports suggestion-based code improvements by using a graph-informed approach to propose safe transformations. It explicitly validates post-change effects through detect_changes verification, ensuring community-driven modifications maintain system integrity.

Impact-radius checks require explicit modes for suggest, dead_code, and rename operations to function correctly, limiting automated actions to these defined scopes. Minimal-context initialization is necessary, and validation relies on detect_changes post-application to confirm affected-flow integrity.