cleanup

Dead code and duplicate removal can be performed safely using a deletion-first workflow that generates small, reversible diffs with per-file reasoning to preserve behavior. This approach minimizes regression risk by enforcing incremental, bounded cleanup steps.

Flattening over-abstractions during codebase cleanup is best achieved through behavior-preserving refactoring that removes unnecessary complexity in small, reversible steps. This simplifies structure incrementally while guaranteeing the original program behavior remains completely intact.

A bounded cleanup should be performed on active projects after long coding sessions, experiments, or feature work. It is also appropriate whenever you specifically request cruft removal to consolidate duplicates and eliminate dead code before further development.

A deletion-first refactoring approach works effectively for active projects by applying safe, incremental changes after feature work. It removes cruft through bounded, reversible steps that preserve behavior, ensuring continuous development remains uninterrupted.

You can consolidate duplicate code without regressions by applying a behavior-preserving workflow that relies on safe diffs and per-file reasoning. This ensures the consolidation strictly simplifies the structure without altering the original execution behavior.

The primary limitation of a deletion-first cleanup workflow is that it is bounded to removing dead code, duplicates, and over-abstractions. It focuses strictly on behavior-preserving structural simplification rather than implementing new features or altering existing program logic.