performance-optimization

To reduce LCP and CLS in a slow React app, profile performance using Lighthouse and Web Vitals to identify bottlenecks, then apply targeted optimizations like memoization, code-splitting, and image enhancements to improve loading and visual stability.

The best way to decrease React bundle size is applying tree-shaking, dynamic imports, and dependency auditing to eliminate unused code, complemented by code-splitting strategies to load JavaScript more efficiently.

Use React.memo, useMemo, and useCallback for performance optimization when profiling reveals unnecessary component re-renders or expensive calculations, applying them to memoize components and values to improve app interactivity.

Yes, this performance optimization workflow supports server-rendered pages and SPAs by measuring runtime tracing and Web Vitals bottlenecks across frontend layers, applying targeted caching and rendering improvements to reduce load times.

Your React app may still have poor Web Vitals after lazy-loading if underlying bundle hygiene issues remain, requiring further dependency auditing, tree-shaking, and caching strategies to resolve hidden performance bottlenecks.