cleanup-health-inline

Automate dead code cleanup by running a workflow that detects unused imports and unreachable code, removes them by priority, and verifies changes using pnpm build and type-check validation.

Dead code detection identifies unused imports, commented-out code, and unreachable code, then removes these issues based on predefined priority levels like critical, high, medium, and low.

Automated refactoring integrates directly with Beads for issue tracking and workflow orchestration, managing status updates while coordinating specialized sub-agents for code removal.

Verify code health after dead code removal through automated re-scanning that checks for effectiveness and regressions, performing inline validation via pnpm build and type-check across multiple iterations.

Manage technical debt from unused code by orchestrating an end-to-end detection and removal workflow that performs comprehensive cleanup iterations and provides detailed summary reports.

Automated dead code removal may require multiple iterations for comprehensive cleanup and depends on inline validation checks like pnpm build and type-check to prevent regressions during the refactoring process.