benchmark

You can detect web performance regressions by comparing load times and resource sizes before and after changes. This Skill establishes a performance baseline and then compares current metrics against it to identify any regressions in real-time.

Load time analysis covers key web performance metrics including TTFB, FCP, LCP, and resource sizes. It evaluates these metrics to identify performance regressions by comparing current page load data against a previously established baseline.

Yes, performance testing requires tools like perf and JavaScript evaluation for real-time data collection. These dependencies are necessary to accurately gather the load time and resource size metrics required for regression detection.

To establish a performance baseline for page load times, run the /benchmark command followed by your website URL. This records the initial load times and resource sizes to serve as a reference point for future before and after comparisons.

The best way to compare web application performance before and after updates is by using a before and after comparison against a performance baseline. This approach analyzes metrics like TTFB, FCP, and LCP to pinpoint any resulting performance regressions.