benchmark

To detect web performance regressions in pull requests, you can capture a baseline and compare current runs against it to flag per-metric regressions using the browser daemon. This allows early detection of load time and Core Web Vitals changes.

Baseline performance trend analysis works by capturing historical performance metrics for pages and comparing them across runs to generate trend charts. This reveals per-page and resource insights, helping teams track load time and Core Web Vitals changes over time.

Yes, you can use browser performance entries to monitor Core Web Vitals in CI pipelines. The framework measures load times and resource usage, supporting canary releases and feature flags to ensure data-driven optimization during automated builds.

The best way to compare web performance across feature flag deployments is to run diff modes against a stored project baseline file. This approach isolates performance impacts and alerts on regressions for specific metrics like Core Web Vitals and load times.

Yes, you need a local or project baseline file to measure load time changes. The framework requires this baseline to compare current performance entries accessed via the browser daemon, enabling regression detection and trend analysis for web pages.

You can track Core Web Vitals for multiple pages simultaneously by passing a pages array to the benchmark. This captures and compares performance data across all specified URLs, generating per-page insights and alerting on any detected regressions.