React-Performance

Prop drilling makes components harder to maintain, but its performance cost is misunderstood. Here is a step-by-step guide to reducing both the overhead and the architectural debt, with profiling evidence at each stage.

A common refrain is that React Router lazy loading is just about swapping import for lazy. That framing leaves out the loading states, the error boundaries, and the bundle-size math that decides whether the technique helps at all.

Service worker caching in React apps falls into two camps: the beginner pattern that works on first load, and the advanced pattern that survives real-world updates. Here is the full comparison.

Both hooks solve the same problem — keeping a UI responsive during expensive state updates. One works better for immediate input feedback. The other suits data-heavy renders. This comparison test walks through the difference.

HTTP caching, memoization, and service workers each solve a different performance problem. Here is what each approach can and cannot do for a React app, based on measured results.

The Performance tab gives you a frame-by-frame record of exactly where your React components draw. Here is the workflow for turning that raw trace into a targeted fix.

Context is the easiest way to share state, but also the easiest way to cause wasteful re-renders. Here are the five most effective selector patterns, ranked from simplest to most powerful.

Streaming SSR and traditional SSR both produce server-rendered HTML. The difference is in when the bytes arrive—and that timing gap matters more than most benchmarks show. Here is what changes in practice.

Inline functions and objects in JSX are convenient, but they create new references on every render. Here is what the profiler shows when you measure the cost.

A passing Lighthouse score today doesn't mean your app stays fast tomorrow. Here's how to catch performance regressions automatically, before they reach production.