performance-profiling

You can measure web performance by running the Lighthouse audit script against your target URL to collect Core Web Vitals like LCP, INP, and CLS alongside structured Lighthouse scores for baseline analysis.

Web performance optimization follows a structured workflow: establish a baseline measurement, identify bottlenecks in metrics or bundle artifacts, apply fixes, and validate changes to ensure focused improvements across environments.

Yes, you can integrate the automated Lighthouse audit scripts directly into your CI pipeline to continuously collect performance metrics, validate changes, and generate auditable reports for production builds.

Diagnose slow loading by collecting Lighthouse scores and Core Web Vitals, then analyzing bundle artifacts and runtime metrics to identify specific bottlenecks and guide focused performance improvements.

Yes, the performance measurement and optimization scripts apply across development, CI, and production environments, allowing you to consistently collect metrics, validate changes, and generate auditable reports.

You need a Python environment to execute the Lighthouse audit script and a target URL, enabling you to collect standard performance metrics and generate structured reports for optimization analysis.