cleanup

To reduce technical debt across your codebase, you need to scan for code bloat, redundancy, and unnecessary complexity. This process involves analyzing the project for TODOs and outdated practices, then refactoring complex logic into straightforward implementations to improve maintainability without introducing regressions.

The best way to simplify code and remove redundant logic after a feature release is to run a cleanup workflow that reviews recent changes. This identifies duplicate code sections and refactors newly introduced complexity into more straightforward, manageable implementations.

Autonomous code refactoring handles verification by executing analysis, planning, and code modification steps sequentially while validating modifications. It aims to improve code clarity and maintainability by resolving complexity and redundancy while specifically ensuring no functional regressions are introduced.

Yes, you can use an automated cleanup tool to scan your project for outdated practices, TODOs, and FIXMEs. It identifies these technical debt markers across the codebase and suggests fixes to ensure the software remains clean and manageable during maintenance workflows.

You should not use automated code simplification when a codebase requires strict manual oversight or when modifying highly sensitive logic where autonomous refactoring might misinterpret critical complexity. It is designed for general maintenance and redundancy removal rather than architecting entirely new system behaviors.