code-clean

What problem does it solve?

Clean up an existing codebase safely by removing dead code, debug cruft, and style issues while preserving behavior and outputs.

Core Features & Use Cases

• Behavior-preserving cleanup with an explicit safety-net (tests or golden/characterization snapshots) and verify-after-each-batch discipline.
• Risk-tiered refactoring that treats any changed outputs (especially numerical results) as regressions to revert.
• Evidence-based dead-code removal using tool detection plus reference checks, while avoiding deletion of entry points, public APIs, or dynamically dispatched code.
• Use cases: presenting experiment code, removing unused imports and debug prints, extracting hardcoded paths/hyperparameters into config, and preparing code for release or handoff.

Quick Start

Run behavior-preserving cleanup for the codebase on your branch by first capturing a baseline (tests or a golden outputs snapshot) and then applying safe formatting/lint fixes followed by evidence-backed dead-code removal.