performance-opt

Performance bottlenecks in React apps stem from bundle size, render inefficiency, and API latency. Measure using Core Web Vitals (LCP, FID, CLS), run bundle analysis with Lighthouse, profile React re-renders, and check API response times to pinpoint the slowest components.

Reduce bundle size through code splitting, dynamic imports for lazy-loaded components, tree shaking to eliminate dead code, and dependency optimization. Analyze your bundle with Lighthouse to identify large modules, then split heavy components into separate chunks loaded only when needed.

Optimize rendering with React.memo to skip re-renders of unchanged components, useMemo to cache expensive computations, and useCallback to stabilize function references. Combine these with virtualization for large lists and debouncing for frequent updates to maintain a responsive UI.

Yes, Core Web Vitals—LCP, FID, CLS, plus FCP, TTFB, TTI—are measurable benchmarks for web performance. Track these metrics during development and pre-deployment to enforce performance standards and catch regressions before they reach production.

Yes, database query efficiency is part of overall performance optimization. Slow queries inflate API response times, which directly impact user experience. Analyze query performance alongside bundle size and rendering to address all layers of application latency.

Memoization (useMemo, useCallback, React.memo), code splitting, dynamic imports, bundle analysis, and virtualization work across React and Next.js. Both stacks support tree shaking, dependency optimization, and pre-deployment performance measurement for Lighthouse metrics and Core Web Vitals.