Dead-code cleanup assistant for developers using AI coding agents
Users of coding agents report a recurring failure mode: when an approach changes, the agent adds new code but never removes the abandoned code, leaving stale branches, unused helpers and redundant fields. A tool that detects and removes these leftovers after each agent-driven change would save real cleanup time.
The problem
After several iterations with a coding agent, the codebase accumulates unused functions, redundant logic and dead data fields from abandoned approaches. Developers must manually hunt these down or ship bloated code, costing hours per feature.
What could be built
A CLI or IDE plugin that diffs agent-driven changes, tracks which code paths and data definitions are no longer referenced by the current approach, and suggests or applies removal of the dead code as part of the implementation workflow.
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