picky-performance

To audit Core Web Vitals, you can run a performance audit that measures LCP, INP, CLS, TTFB, FCP, and TTI, returning a scored report with file:line references and recommended code changes to resolve bottlenecks.

The best way to find frontend performance bottlenecks is through runtime and network profiling that quantifies issues like large bundle sizes and poor caching, providing a prioritized list of fixes with measurable millisecond or kilobyte savings.

Yes, you need Chrome DevTools MCP to run Lighthouse measurements for frontend optimization, which enables the audit to capture precise runtime metrics and generate actionable improvements for your web application.

Runtime profiling identifies and quantifies network and rendering bottlenecks, allowing you to target specific asset optimizations like code splitting, image and font delivery, and caching strategies to reduce overall load times.

Yes, you can get specific code recommendations for improving Core Web Vitals like LCP and INP, as the audit outputs precise file:line references alongside suggested code changes to achieve measurable performance gains.

A poor Lighthouse performance score despite code splitting may result from unoptimized runtime execution, inadequate caching strategies, or heavy image and font assets, which a comprehensive performance audit can identify and quantify.