Optimizing React Apps for Speed and Performance

❇️ React Interview Series ❇️ ✳️ Chapter-1: Making React Apps Fast 🚀 ------------------------------------------ 1️⃣ How do you prevent unnecessary re-renders ❓ 👉 By using React.memo, useCallback, useMemo, and keeping state local instead of global. 2️⃣ How do you optimize a list with thousands of items ❓ 👉 Using list virtualization (react-window), pagination/infinite scroll, and memoized row components. 3️⃣ When do you use useMemo in real projects ❓ 👉 To cache expensive computations and avoid recalculating derived data on every render. 4️⃣ Why and when do you use useCallback ❓ 👉 To prevent function re-creation when passing callbacks to memoized child components. 5️⃣ How do you reduce re-renders caused by state changes ❓ 👉 By splitting state, avoiding deeply nested objects, and updating only what actually changes. 6️⃣ How do you optimize API-driven re-renders ❓ 👉 By debouncing inputs, canceling in-flight requests, and triggering fetches only on stable dependencies. 7️⃣ When would you choose useRef over useState for performance ❓ 👉 When a value must persist across renders without causing a re-render (timers, DOM refs). 8️⃣ How do you avoid performance issues with inline functions and objects ❓ 👉 By memoizing them or moving them outside render when they don’t depend on props/state. 9️⃣ How do you handle expensive components on initial load ❓ 👉 Using code-splitting with React.lazy and Suspense to load only what’s needed. 🔟 How do you measure and debug React performance issues? 👉 Using React DevTools Profiler, browser performance tools, and logging unnecessary renders. Cheers, Binay 🙏 #ReactJS #ReactPerformance #FrontendDevelopment #SoftwareEngineering  #ReactInterview #WebPerformance #DevTips #LearnInPublic

  • graphical user interface, application

Clear, practical and straight to the point Binay, looking forward to the next chapters 👏

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