performance-profiling

Optimize web performance by running a Lighthouse audit to measure Core Web Vitals like LCP, INP, and CLS. This identifies bottlenecks in your web application, enabling targeted optimization strategies.

Identify large dependencies causing slow load times through bundle analysis. This technique detects heavy libraries in your codebase, allowing you to implement code splitting and reduce the initial bundle size.

Runtime profiling detects JavaScript execution bottlenecks by analyzing memory usage and long tasks during execution. It reveals memory leaks and blocking operations that degrade web application performance.

Yes, you can audit a Next.js application's performance by measuring key metrics with Lighthouse. It helps pinpoint issues like large libraries affecting LCP, guiding code splitting to improve load times.

Common performance anti-patterns for web applications include large unoptimized bundles, unmanaged JavaScript long tasks, and memory leaks. Profiling helps detect these issues to systematically resolve performance bottlenecks.

Lighthouse is required to measure key web performance metrics like LCP, INP, and CLS effectively. It provides the auditing baseline needed to analyze performance and guide optimization strategies.