A PWA caching strategy can make your React app slower if implemented without care. Here is the precise service worker setup we used, with measurements at each step.

The most common LCP advice targets the wrong root cause. Here is a practical comparison of beginner-level fixes versus advanced techniques that measurably move Core Web Vitals.

Third-party scripts are a common cause of poor Core Web Vitals. This post ranks five lazy-loading techniques by their practical impact on page speed.

Charts that render 10,000 points grind to a halt. Charts that render 100,000 points feel identical. The difference is not the library—it is how you feed it data. Here is the troubleshooting checklist I use.

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.