perf-web-optimization

To improve Core Web Vitals metrics, use Lighthouse and performance APIs to identify bottlenecks, then apply optimization patterns like modern image formats, font loading strategies, and code splitting to reduce LCP and CLS across pages.

Reduce web bundle size by implementing code splitting to lazy-load route segments and configuring caching headers. This lowers initial payloads and improves Time to Interactive across web applications.

The best way to optimize Largest Contentful Paint is to measure TTFB and asset delivery using performance APIs, then apply image format upgrades like WebP or AVIF alongside font loading strategies to accelerate rendering.

Yes, web performance optimization requires verification through both Lighthouse scores and real user metrics to confirm that changes to caching headers and asset payloads actually improve LCP, CLS, and INP.

Yes, you can use performance APIs to diagnose high Cumulative Layout Shift and slow Time to First Byte by capturing real-time metrics that reveal rendering bottlenecks and network delay patterns.

Poor Interaction to Next Paint can persist after reducing bundle size if caching headers are misconfigured or if render-blocking assets remain. Diagnosing this requires measuring INP directly with performance APIs.