Performance

TanStack Query simplifies server state, but its caching layer has pitfalls that show up under real traffic. Here is a practical comparison of beginner-friendly defaults versus advanced patterns, with measurable outcomes.

Zustand promises minimal re-renders, but a poorly written selector can wreck that guarantee. Here is a myth-vs-reality breakdown of the selector patterns that measurably reduce render counts.

React apps receiving rapid WebSocket updates often suffer from excessive re-renders. Here is a practical beginner-vs-advanced comparison of strategies to keep your UI responsive.

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.