benchmark

You can detect performance regressions by comparing current measurements against an established performance baseline. This identifies issues like increased load times, slower rendering, and larger resource sizes before they affect users.

Establishing a performance baseline requires measuring page load times, Core Web Vitals, and resource sizes. These baseline metrics serve as the reference point to detect regressions when comparing before and after states.

Tracking web performance trends over time involves comparing before and after metrics on every pull request. This continuous regression detection ensures new changes do not introduce increased load times or slower rendering.

To perform a full performance audit on a specific URL, execute the benchmark command with your target link. This gathers the required performance metrics and compares them against your established baseline.

Yes, detecting regressions requires the ability to execute scripts to gather data and access the application's performance metrics. This script execution is necessary to collect current measurements for comparison.

Regression detection using baseline comparisons is limited by its reliance on established baseline metrics and script execution access. It cannot identify performance issues if a baseline is not properly established or if scripts cannot gather the required data.