simplify-code

To review and simplify code changes, you can run a command that analyzes uncommitted or staged changes for redundancy, quality, and efficiency issues. It uses parallel subagents to concurrently identify problems and suggest improvements.

Parallel subagent code review works by deploying multiple subagents to simultaneously analyze your code changes. This concurrent processing targets duplication, quality, and efficiency to suggest focused refactoring improvements.

Yes, you can run a code cleanup review on specific files or staged changes. The tool provides scope control to limit analysis to uncommitted changes, staged changes, or individually specified files.

Yes, you need Python installed to run this parallel subagent code review. It also requires relevant subagent configurations to properly execute the concurrent analysis and suggest improvements.

The best way to analyze code efficiency without modifying files is to use a dry run option. This reviews your code for potential improvements and redundancy issues without making any actual changes.

Yes, you can focus your code review on reuse and quality instead of running all checks. The tool supports custom focus reviews, allowing you to target specific areas like code reuse, quality, or efficiency.