mode-optimize

To refactor code for performance without changing behavior, establish baseline metrics, identify bottlenecks using profiling tools, and apply targeted optimizations. This process ensures tests pass and original functionality remains intact after the code cleanup.

The best way to identify performance bottlenecks is to measure baseline performance first, then utilize language-specific profiling tools. This pinpoints exact code areas causing degradation, allowing targeted refactoring and optimization for JS/TS, Python, Java, or Go.

Yes, you can optimize and clean up code while ensuring tests pass. The optimization process measures baselines, identifies bottlenecks, and implements improvements, explicitly prioritizing behavior preservation so all existing tests continue to pass after refactoring.

Code refactoring and optimization support multiple programming languages including JavaScript, TypeScript, Python, Java, and Go. It utilizes language-specific profiling tools and common optimization patterns to ensure effective cleanup and performance enhancement across these environments.

Code runs slowly due to specific bottlenecks, which you can find by establishing a performance baseline. Measuring this baseline before optimization allows you to pinpoint degradation areas and apply improvements that maintain original behavior.

You should not use code optimization patterns when lacking baseline metrics or existing tests. Without measuring baselines and verifying behavior preservation, refactoring risks altering functionality and failing to address actual performance bottlenecks.