performance-profiling

To measure Core Web Vitals and identify web performance bottlenecks, you can run a Lighthouse audit to establish a performance baseline, then use browser DevTools to inspect runtime and memory issues. This profiling workflow helps pinpoint slow page load times and interaction delays.

Analyzing JavaScript bundle sizes requires a bundle analyzer to visualize code distribution and detect heavy dependencies. This process provides actionable insights into potential optimizations like code splitting, which improves initial page load performance.

The standard workflow for web performance profiling follows a four-step process: establish a performance baseline, identify bottlenecks using auditing tools, apply fixes to the code, and validate the improvements to ensure better load times and user experience.

Yes, you need the Lighthouse CLI installed to run automated performance audits. This Skill requires the Lighthouse command-line interface as a dependency to execute automated page audits and measure Core Web Vitals effectively.

Slow page load times and poor interactions are typically caused by large JavaScript bundles, unoptimized assets, or memory leaks. Profiling with browser DevTools and bundle analyzers helps isolate these specific runtime performance bottlenecks for targeted fixes.

Yes, you can use Lighthouse to audit accessibility and SEO alongside performance. The tool evaluates web pages across multiple categories including performance, accessibility, best practices, and SEO to provide a comprehensive site quality report.