benchmark

To catch web performance regressions in continuous integration, you can validate every pull request against established baselines by measuring page load times, Core Web Vitals, and bundle sizes to detect timing degradation before merge.

Baseline comparison works by capturing reference metrics for page load times, Core Web Vitals, and resource sizes into JSON storage, then comparing current branch measurements against these stored values to identify any performance degradation or bundle size growth.

Yes, you need a browse daemon for live page measurement and JavaScript performance API access to extract metrics. These tools provide the raw timing data required to evaluate regressions against your stored baseline.

The best way to track LCP increases and JavaScript bundle size regressions is by establishing a baseline and running comparative trend analysis across branches, allowing you to spot gradual degradation before it compounds into critical user-facing slowdowns.

Yes, you can validate pull requests against baselines to ensure no PR introduces specific timing degradation or bundle size jumps, such as a 500ms LCP increase or a 60KB JavaScript bundle size growth, preventing regressions from merging.

Use automated performance benchmarking for continuous integration workflows where every pull request requires validation, ensuring timing degradation, bundle size growth, and request count increases are caught early rather than relying on periodic manual Lighthouse audits.