optimizing-performance

Web Vitals metrics—LCP, FID, and CLS—identify frontend performance bottlenecks. Use Lighthouse or DevTools to measure these metrics, then apply targeted optimizations like code splitting, tree shaking, and React memoization techniques to achieve measurable improvements.

Reduce bundle size through code splitting, tree shaking, and lazy loading. Code splitting separates your bundle into smaller chunks loaded on demand, tree shaking removes unused code, and lazy loading defers non-critical components—together they cut bundle size and improve LCP.

Use useMemo and useCallback when React re-rendering causes performance degradation. useMemo memoizes expensive computations, useCallback memoizes function references, and React.memo prevents unnecessary component re-renders—apply these selectively based on DevTools profiling data.

Diagnose slow loads and layout shifts by measuring LCP and CLS with DevTools or Lighthouse. Data-driven analysis reveals whether the problem stems from rendering delays, bundle size, or layout instability, guiding your optimization strategy toward the highest-impact fixes.

Yes. Performance optimization applies to existing codebases through progressive improvements: measure current metrics with Web Vitals, identify bottlenecks in re-rendering or bundle size, then incrementally apply memoization, code splitting, and lazy loading based on profiling data.