ck:autoresearch

Automate iterative code optimization by executing targeted changes, verifying metric impact, and using Git for tracking. This Skill runs multiple iterations to increase test coverage or improve bundle size, automatically rolling back regressions to ensure code quality.

Yes, Git integration enables automatic rollback for code changes that regress performance metrics. The tool tracks each modification during the optimization loop, reverting iterations that fail verification checks or degrade measurable code metrics.

You need Jest and ts-node as dependencies to execute verification commands and run TypeScript scripts in your optimization loops. Git is also required to track changes and enable rollback for iterative code metrics improvement.

The best way to iteratively increase test coverage is defining a target metric, scope, and verification command. This Skill executes code changes automatically across multiple iterations, verifying impact and keeping only improvements that pass your guard checks.

You can improve measurable code metrics such as test coverage, performance, and bundle size using automated iterative optimization loops. The process executes changes, verifies their impact using your specified commands, and preserves validated improvements.

Automated optimization loops may fail if verification commands are inaccurate or guard checks are too strict. Ensure your verification command correctly parses coverage reports and your guard validates type safety and test integrity before keeping changes.