performance-optimization

Improve Core Web Vitals by running a Lighthouse audit to identify bottlenecks, then applying dynamic imports, static optimization, and next/image to reduce payload and layout shift. This targets LCP, CLS, FCP, INP, and TTFB improvements.

The best way to reduce bundle size is reviewing bundle analysis reports to identify large dependencies, then applying code-splitting and dynamic imports in your Next.js configuration to minimize payloads and improve load times.

Caching and ISR reduce server load by implementing smart revalidation and edge caching strategies. This allows data fetching to serve stale content while revalidating in the background, decreasing direct server requests.

Yes, you can use next/image to optimize images by serving appropriately sized formats and lazy loading. This directly reduces Largest Contentful Paint times and improves overall Lighthouse performance scores.

A slow TTFB often results from inefficient data fetching or server processing. Fix it by implementing edge caching and smart revalidation strategies to serve cached responses closer to the user.

Yes, you need to run Lighthouse before to establish baseline scores and identify bottlenecks, and after to verify that bundle analysis, dynamic imports, and caching changes produced measurable metric improvements.