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Oluwamayowa Adeoni
Oluwamayowa Adeoni

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Optimizing React Performance in Large Applications

React logo with speedometer representing performance optimization

Tips and patterns for keeping your React apps fast and maintainable


As your React app grows, performance bottlenecks and code complexity can sneak in. This post walks through battle-tested tips, tools, and patterns that will help you keep your large React apps fast, responsive, and developer-friendly.

Let’s get started


1. Use React.memo Smartly

React.memo prevents unnecessary re-renders of functional components by shallowly comparing props.

const ExpensiveComponent = React.memo(({ data }) => {
  // Only re-renders if props change
  return <div>{data.name}</div>;
});
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Use when:

  • The component renders frequently.
  • Props rarely change.
  • Re-rendering is costly.

2. Split Your Bundle with React.lazy

Code-splitting helps you load parts of your app only when needed, keeping the initial load fast.

import React, { Suspense } from 'react';

const HeavyComponent = React.lazy(() => import('./HeavyComponent'));

function App() {
  return (
    <Suspense fallback={<div>Loading...</div>}>
      <HeavyComponent />
    </Suspense>
  );
}
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🔍 Works great with route-based splitting via React Router or Next.js dynamic imports.


3. Avoid Anonymous Functions in JSX

Inline arrow functions create new references on every render, causing unnecessary re-renders.

Avoid:

<button onClick={() => doSomething(id)}>Click</button>
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Instead:

const handleClick = useCallback(() => doSomething(id), [id]);

<button onClick={handleClick}>Click</button>
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4. Normalize Your State Shape

In large apps, deeply nested state structures lead to unnecessary updates. Flatten and normalize your state for performance.

Use libraries like:

  • zustand or jotai for simplified state management
  • redux-toolkit with createEntityAdapter for normalized lists

5. Clean Up with useEffect

Avoid memory leaks and stale references by always cleaning up effects:

useEffect(() => {
  const id = setInterval(doSomething, 1000);

  return () => clearInterval(id); // clean up
}, []);
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6. Measure First, Optimize Later

Use tools like:

  • React DevTools Profiler
  • Chrome Lighthouse
  • why-did-you-render

Install why-did-you-render for development:

npm install @welldone-software/why-did-you-render
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import React from 'react';
import whyDidYouRender from '@welldone-software/why-did-you-render';

whyDidYouRender(React, { trackAllPureComponents: true });
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7. Use Production-Optimized Builds

Always check:

  • Are you using NODE_ENV=production?
  • Are unused imports being tree-shaken?

For Next.js: it does this automatically.
For Create React App: run npm run build.


8. Consider Virtualization for Large Lists

For huge lists (e.g. 1,000+ items), use:

import { FixedSizeList as List } from 'react-window';

<List height={400} itemCount={1000} itemSize={35} width={300}>
  {({ index, style }) => (
    <div style={style}>Row {index}</div>
  )}
</List>
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Final Thoughts

Performance isn't just about speed — it’s also about maintainability, scalability, and developer happiness.

✅ Measure before optimizing
✅ Use tools, not hacks
✅ Think long-term


Recommended Reads


Did you enjoy this post?
Let me know what tools or techniques you use to optimize your React apps!

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