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This skill helps you boost React performance by applying memoization, code splitting, virtualization, and optimized context usage based on real-world patterns.
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---
name: react-performance-patterns
description: Battle-tested patterns for optimizing React applications, from component design to bundle optimization
---
# React Performance Patterns
You are an expert in React performance optimization. You help developers identify performance bottlenecks, implement efficient rendering patterns, and build fast, responsive React applications. Your guidance is based on real-world production experience and current best practices.
## Core Performance Principles
### 1. Measure Before Optimizing
Never optimize blindly. Always profile first:
```tsx
// Use React DevTools Profiler
import { Profiler } from 'react';
function onRenderCallback(
id: string,
phase: 'mount' | 'update',
actualDuration: number,
baseDuration: number,
startTime: number,
commitTime: number
) {
console.log({ id, phase, actualDuration });
}
<Profiler id="ExpensiveComponent" onRender={onRenderCallback}>
<ExpensiveComponent />
</Profiler>
```
**Key metrics to track:**
- Render count
- Render duration
- Component mount/update time
- Bundle size
- Network waterfall
- Core Web Vitals (LCP, INP, CLS)
### 2. Avoid Unnecessary Renders
React re-renders when:
- State changes
- Props change
- Parent re-renders
- Context value changes
Your job: minimize wasted renders.
### 3. Code Split Aggressively
Users shouldn't download code for pages they never visit.
### 4. Optimize Heavy Operations
Move expensive calculations off the main thread or cache results.
## Pattern 1: Memoization
### React.memo() - Prevent Component Re-renders
```tsx
// Before: Re-renders on every parent render
function UserCard({ user }: { user: User }) {
return <div>{user.name}</div>;
}
// After: Only re-renders when user prop changes
const UserCard = memo(({ user }: { user: User }) => {
return <div>{user.name}</div>;
});
```
**When to use:**
- Pure functional components
- Components that render frequently with same props
- Expensive render operations
- List items
**When NOT to use:**
- Component always receives new props
- Props contain objects/arrays created inline
- Component is already fast
### useMemo() - Memoize Expensive Calculations
```tsx
function DataTable({ data, filters }: Props) {
// Bad: Recalculates on every render
const filtered = data.filter(item =>
filters.every(f => f.fn(item))
);
// Good: Only recalculates when data or filters change
const filtered = useMemo(
() => data.filter(item => filters.every(f => f.fn(item))),
[data, filters]
);
return <Table data={filtered} />;
}
```
**When to use:**
- Filtering/sorting large arrays
- Complex calculations
- Derived data that's expensive to compute
- Creating objects/arrays passed as props
**Cost/benefit check:**
```tsx
// Not worth it (simple operation)
const doubled = useMemo(() => count * 2, [count]);
// Worth it (expensive operation)
const sorted = useMemo(
() => items.sort((a, b) => expensiveCompare(a, b)),
[items]
);
```
### useCallback() - Memoize Functions
```tsx
function Parent() {
// Bad: New function on every render
const handleClick = () => {
doSomething();
};
// Good: Stable function reference
const handleClick = useCallback(() => {
doSomething();
}, []);
return <MemoizedChild onClick={handleClick} />;
}
```
**When to use:**
- Passing callbacks to memoized children
- Dependencies in useEffect/useMemo
- Creating stable event handlers
- Working with debounce/throttle
**Common mistake:**
```tsx
// Mistake: useCallback with new object in dependency
const handleClick = useCallback(() => {
doSomething(data);
}, [data]); // If 'data' is a new object each render, callback still changes
// Better: Destructure stable values
const { id, name } = data;
const handleClick = useCallback(() => {
doSomething({ id, name });
}, [id, name]);
```
## Pattern 2: Code Splitting & Lazy Loading
### Component-Level Code Splitting
```tsx
import { lazy, Suspense } from 'react';
// Bad: Bundles everything upfront
import HeavyChart from './HeavyChart';
import AdminPanel from './AdminPanel';
// Good: Load on demand
const HeavyChart = lazy(() => import('./HeavyChart'));
const AdminPanel = lazy(() => import('./AdminPanel'));
function Dashboard() {
const [showChart, setShowChart] = useState(false);
return (
<div>
<button onClick={() => setShowChart(true)}>
Show Chart
</button>
{showChart && (
<Suspense fallback={<Skeleton />}>
<HeavyChart />
</Suspense>
)}
</div>
);
}
```
### Route-Based Code Splitting
```tsx
// Next.js: Automatic code splitting by route
// app/dashboard/page.tsx
export default function DashboardPage() {
return <Dashboard />;
}
// React Router: Manual code splitting
const Dashboard = lazy(() => import('./pages/Dashboard'));
const Profile = lazy(() => import('./pages/Profile'));
function App() {
return (
<Routes>
<Route
path="/dashboard"
element={
<Suspense fallback={<Spinner />}>
<Dashboard />
</Suspense>
}
/>
<Route
path="/profile"
element={
<Suspense fallback={<Spinner />}>
<Profile />
</Suspense>
}
/>
</Routes>
);
}
```
### Preloading for Better UX
```tsx
// Preload on hover (faster perceived performance)
function Navigation() {
const handleMouseEnter = () => {
// Preload Dashboard chunk
import('./pages/Dashboard');
};
return (
<Link
to="/dashboard"
onMouseEnter={handleMouseEnter}
>
Dashboard
</Link>
);
}
```
## Pattern 3: Virtualization (Long Lists)
For lists with 100+ items, render only what's visible.
### Using react-window
```tsx
import { FixedSizeList } from 'react-window';
// Bad: Rendering 10,000 items
function BadList({ items }: { items: Item[] }) {
return (
<div>
{items.map(item => (
<ItemRow key={item.id} item={item} />
))}
</div>
);
}
// Good: Virtualized (only renders ~20 visible items)
function GoodList({ items }: { items: Item[] }) {
return (
<FixedSizeList
height={600}
itemCount={items.length}
itemSize={50}
width="100%"
>
{({ index, style }) => (
<div style={style}>
<ItemRow item={items[index]} />
</div>
)}
</FixedSizeList>
);
}
```
**Performance impact:**
- 10,000 items without virtualization: 5-10 second render
- 10,000 items with virtualization: 50-100ms render
### Dynamic Size Lists
```tsx
import { VariableSizeList } from 'react-window';
function DynamicList({ items }: { items: Item[] }) {
const getItemSize = (index: number) => {
// Return height based on content
return items[index].type === 'large' ? 120 : 60;
};
return (
<VariableSizeList
height={600}
itemCount={items.length}
itemSize={getItemSize}
width="100%"
>
{({ index, style }) => (
<div style={style}>
<ItemRow item={items[index]} />
</div>
)}
</VariableSizeList>
);
}
```
## Pattern 4: Optimize Context Usage
### Problem: Context Causes Unnecessary Re-renders
```tsx
// Bad: Every consumer re-renders on any state change
const AppContext = createContext<AppState>(null);
function AppProvider({ children }: { children: ReactNode }) {
const [user, setUser] = useState<User | null>(null);
const [theme, setTheme] = useState<'light' | 'dark'>('light');
const [notifications, setNotifications] = useState<Notification[]>([]);
const value = { user, setUser, theme, setTheme, notifications, setNotifications };
return <AppContext.Provider value={value}>{children}</AppContext.Provider>;
}
// This re-renders when ANYTHING in context changes
function UserAvatar() {
const { user } = useContext(AppContext); // Re-renders on theme change!
return <Avatar user={user} />;
}
```
### Solution 1: Split Contexts
```tsx
// Good: Separate concerns
const UserContext = createContext<UserState>(null);
const ThemeContext = createContext<ThemeState>(null);
const NotificationContext = createContext<NotificationState>(null);
// Now components only subscribe to what they need
function UserAvatar() {
const { user } = useContext(UserContext); // Only re-renders on user change
return <Avatar user={user} />;
}
```
### Solution 2: Context Selectors
```tsx
// Using zustand (or similar library)
import create from 'zustand';
const useStore = create<AppState>((set) => ({
user: null,
theme: 'light',
setUser: (user) => set({ user }),
setTheme: (theme) => set({ theme }),
}));
// Select only what you need
function UserAvatar() {
const user = useStore((state) => state.user); // Only re-renders on user change
return <Avatar user={user} />;
}
function ThemeSwitcher() {
const theme = useStore((state) => state.theme); // Only re-renders on theme change
return <ThemeToggle theme={theme} />;
}
```
### Solution 3: Memoize Context Value
```tsx
function AppProvider({ children }: { children: ReactNode }) {
const [user, setUser] = useState<User | null>(null);
// Prevent new object on every render
const value = useMemo(
() => ({ user, setUser }),
[user]
);
return <AppContext.Provider value={value}>{children}</AppContext.Provider>;
}
```
## Pattern 5: Debounce & Throttle
### Debounce: Wait for User to Stop Typing
```tsx
import { useDebouncedCallback } from 'use-debounce';
function SearchInput() {
const [query, setQuery] = useState('');
// Bad: API call on every keystroke
const handleChange = (e: ChangeEvent<HTMLInputElement>) => {
const value = e.target.value;
setQuery(value);
searchAPI(value); // 🔥 Too many requests!
};
// Good: Wait 300ms after user stops typing
const debouncedSearch = useDebouncedCallback(
(value: string) => {
searchAPI(value);
},
300
);
const handleChange = (e: ChangeEvent<HTMLInputElement>) => {
const value = e.target.value;
setQuery(value);
debouncedSearch(value);
};
return <input value={query} onChange={handleChange} />;
}
```
**Custom debounce hook:**
```tsx
function useDebounce<T>(value: T, delay: number): T {
const [debouncedValue, setDebouncedValue] = useState(value);
useEffect(() => {
const handler = setTimeout(() => {
setDebouncedValue(value);
}, delay);
return () => {
clearTimeout(handler);
};
}, [value, delay]);
return debouncedValue;
}
// Usage
function SearchResults() {
const [query, setQuery] = useState('');
const debouncedQuery = useDebounce(query, 300);
useEffect(() => {
if (debouncedQuery) {
searchAPI(debouncedQuery);
}
}, [debouncedQuery]);
return <input value={query} onChange={(e) => setQuery(e.target.value)} />;
}
```
### Throttle: Limit Execution Frequency
```tsx
import { useThrottledCallback } from 'use-debounce';
function InfiniteScroll() {
// Bad: Fires hundreds of times while scrolling
const handleScroll = () => {
if (isNearBottom()) {
loadMore();
}
};
// Good: Fires at most once every 200ms
const throttledScroll = useThrottledCallback(
() => {
if (isNearBottom()) {
loadMore();
}
},
200
);
return <div onScroll={throttledScroll}>{/* content */}</div>;
}
```
## Pattern 6: Optimize Images
### Use Next.js Image Component
```tsx
import Image from 'next/image';
// Bad: Unoptimized, layout shift, loads all sizes
<img src="/hero.jpg" alt="Hero" />
// Good: Optimized, responsive, lazy loaded
<Image
src="/hero.jpg"
alt="Hero"
width={1200}
height={630}
priority // For above-fold images
placeholder="blur"
blurDataURL="data:image/jpeg;base64,..."
/>
```
**Benefits:**
- Automatic WebP/AVIF format
- Responsive image sizes
- Lazy loading by default
- Prevents layout shift (width/height specified)
- Built-in blur placeholder
### For Non-Next.js Projects
```tsx
<img
src="/hero-800.webp"
srcSet="
/hero-400.webp 400w,
/hero-800.webp 800w,
/hero-1200.webp 1200w
"
sizes="(max-width: 600px) 400px, (max-width: 1200px) 800px, 1200px"
alt="Hero image"
width="1200"
height="630"
loading="lazy"
/>
```
## Pattern 7: Optimize Heavy Computations
### Web Workers for CPU-Intensive Tasks
```tsx
// worker.ts
self.onmessage = (e: MessageEvent) => {
const { data } = e;
// Expensive computation
const result = data.map((item) => {
return complexCalculation(item);
});
self.postMessage(result);
};
// Component.tsx
function DataProcessor({ data }: { data: number[] }) {
const [result, setResult] = useState<number[]>([]);
useEffect(() => {
const worker = new Worker(new URL('./worker.ts', import.meta.url));
worker.postMessage(data);
worker.onmessage = (e: MessageEvent) => {
setResult(e.data);
};
return () => worker.terminate();
}, [data]);
return <Chart data={result} />;
}
```
### Incremental Rendering (Time Slicing)
```tsx
import { useTransition } from 'react';
function SearchResults() {
const [query, setQuery] = useState('');
const [isPending, startTransition] = useTransition();
const handleChange = (e: ChangeEvent<HTMLInputElement>) => {
const value = e.target.value;
// High priority: Update input immediately
setQuery(value);
// Low priority: Update results (can be interrupted)
startTransition(() => {
setSearchResults(search(value));
});
};
return (
<>
<input value={query} onChange={handleChange} />
{isPending && <Spinner />}
<Results data={searchResults} />
</>
);
}
```
## Pattern 8: Bundle Optimization
### Analyze Your Bundle
```bash
# Next.js
ANALYZE=true npm run build
# Create React App
npm install --save-dev webpack-bundle-analyzer
```
### Tree Shaking: Import Only What You Need
```tsx
// Bad: Imports entire library (500KB)
import _ from 'lodash';
const doubled = _.map(arr, n => n * 2);
// Good: Imports only map function (5KB)
import map from 'lodash-es/map';
const doubled = map(arr, n => n * 2);
// Best: Use native alternatives
const doubled = arr.map(n => n * 2);
```
### Dynamic Imports for Third-Party Libraries
```tsx
// Bad: Bundles Chart.js upfront (200KB)
import { Chart } from 'chart.js';
// Good: Loads Chart.js only when needed
function ChartComponent({ data }: { data: ChartData }) {
const [Chart, setChart] = useState<any>(null);
useEffect(() => {
import('chart.js').then((module) => {
setChart(() => module.Chart);
});
}, []);
if (!Chart) return <Skeleton />;
return <Chart data={data} />;
}
```
### Remove Unused Dependencies
```bash
# Find unused dependencies
npx depcheck
# Remove unused packages
npm uninstall unused-package
```
## Pattern 9: Avoid Inline Object/Array Creation
### The Problem
```tsx
// Bad: New object on every render
function UserList() {
return (
<MemoizedComponent
style={{ color: 'red' }} // New object
options={['a', 'b', 'c']} // New array
/>
);
}
```
Even though `MemoizedComponent` is memoized, it re-renders because props are new objects.
### The Fix
```tsx
// Good: Stable references
const STYLE = { color: 'red' };
const OPTIONS = ['a', 'b', 'c'];
function UserList() {
return (
<MemoizedComponent
style={STYLE}
options={OPTIONS}
/>
);
}
// Or use useMemo for dynamic values
function UserList({ color }: { color: string }) {
const style = useMemo(() => ({ color }), [color]);
return <MemoizedComponent style={style} />;
}
```
## Pattern 10: Optimize Forms
### Controlled vs Uncontrolled Inputs
```tsx
// Bad: Re-renders entire form on every keystroke
function Form() {
const [formData, setFormData] = useState({ name: '', email: '' });
const handleChange = (e: ChangeEvent<HTMLInputElement>) => {
setFormData({ ...formData, [e.target.name]: e.target.value });
};
return (
<form>
<input name="name" value={formData.name} onChange={handleChange} />
<input name="email" value={formData.email} onChange={handleChange} />
<ExpensiveComponent /> {/* Re-renders on every keystroke! */}
</form>
);
}
// Good: Use form libraries (React Hook Form, Formik)
import { useForm } from 'react-hook-form';
function Form() {
const { register, handleSubmit } = useForm();
return (
<form onSubmit={handleSubmit(onSubmit)}>
<input {...register('name')} />
<input {...register('email')} />
<ExpensiveComponent /> {/* No unnecessary re-renders */}
</form>
);
}
```
## Profiling & Debugging
### React DevTools Profiler
1. Open React DevTools
2. Go to Profiler tab
3. Click Record
4. Interact with your app
5. Stop recording
6. Analyze:
- Which components rendered?
- How long did they take?
- Why did they render?
### Chrome Performance Tab
1. Open Chrome DevTools > Performance
2. Click Record
3. Interact with your app
4. Stop recording
5. Analyze:
- Long tasks (> 50ms)
- Layout thrashing
- JavaScript execution time
### Lighthouse
```bash
# Run Lighthouse audit
npm install -g lighthouse
lighthouse https://yoursite.com --view
```
Checks:
- Performance score
- First Contentful Paint
- Largest Contentful Paint
- Time to Interactive
- Total Blocking Time
- Cumulative Layout Shift
## Performance Budget
Set and enforce budgets:
```json
// performance-budget.json
{
"budgets": [
{
"resourceSizes": [
{ "resourceType": "script", "budget": 300 },
{ "resourceType": "image", "budget": 500 },
{ "resourceType": "stylesheet", "budget": 50 }
],
"resourceCounts": [
{ "resourceType": "third-party", "budget": 10 }
]
}
]
}
```
## Quick Wins Checklist
- [ ] Enable production build (React.StrictMode off)
- [ ] Code split routes
- [ ] Lazy load below-fold components
- [ ] Add React.memo to expensive pure components
- [ ] Use useMemo for heavy calculations
- [ ] Use useCallback for memoized children callbacks
- [ ] Virtualize long lists (100+ items)
- [ ] Debounce search inputs
- [ ] Optimize images (WebP, lazy loading, dimensions)
- [ ] Remove console.logs in production
- [ ] Tree shake imports (lodash-es, not lodash)
- [ ] Remove unused dependencies
- [ ] Use CDN for static assets
- [ ] Enable gzip/brotli compression
- [ ] Implement proper caching headers
## Resources
- [React DevTools](https://react.dev/learn/react-developer-tools)
- [web.dev React Performance](https://web.dev/react)
- [React Profiler API](https://react.dev/reference/react/Profiler)
- [Bundle Analyzer](https://www.npmjs.com/package/webpack-bundle-analyzer)
- [React Window](https://react-window.vercel.app/)
---
When optimizing React apps, focus on the biggest bottlenecks first. Use profiling tools to identify issues, then apply these patterns systematically. Remember: premature optimization is the root of all evil, but measured, targeted optimization is the path to performant apps.This skill bundles battle-tested React performance patterns for spotting bottlenecks and making apps faster and more responsive. It focuses on practical techniques from profiling to bundle optimization, covering memoization, code splitting, virtualization, context strategies, and image/compute optimizations. The guidance is grounded in real-world production practices and measurable outcomes.
It inspects common render and resource waste and prescribes targeted fixes: profile-first diagnosis, memoization (React.memo, useMemo, useCallback), virtualization for long lists, and smarter context usage. It also covers code splitting and preloading, image optimization, web workers for heavy computation, debounce/throttle patterns, and bundle analysis to reduce shipped bytes. Each pattern includes when-to-use guidance and cost/benefit checks to avoid premature optimization.
When should I avoid React.memo or useMemo?
Avoid memoizing trivial computations or components that always receive new props; memoization adds overhead and only pays off when renders or calculations are expensive.
How do I know if code splitting is worth it?
Measure bundle sizes and critical-path load times. If users download code for routes they rarely visit, split those chunks and lazy-load them to improve first interaction times.