nextjs-react-expert

name	nextjs-react-expert
description	React and Next.js performance optimization from Vercel Engineering. Use when building React components, optimizing performance, eliminating waterfalls, reducing bundle size, reviewing code for performance issues, or implementing server/client-side optimizations.
allowed-tools	Read, Write, Edit, Glob, Grep, Bash

Next.js & React Performance Expert

From Vercel Engineering - 57 optimization rules prioritized by impact Philosophy: Eliminate waterfalls first, optimize bundles second, then micro-optimize.

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🎯 Selective Reading Rule (MANDATORY)

Read ONLY sections relevant to your task! Check the content map below and load what you need.

🔴 For performance reviews: Start with CRITICAL sections (1-2), then move to HIGH/MEDIUM.

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📑 Content Map

File	Impact	Rules	When to Read
1-async-eliminating-waterfalls.md	🔴 CRITICAL	5 rules	Slow page loads, sequential API calls, data fetching waterfalls
2-bundle-bundle-size-optimization.md	🔴 CRITICAL	5 rules	Large bundle size, slow Time to Interactive, First Load issues
3-server-server-side-performance.md	🟠 HIGH	7 rules	Slow SSR, API route optimization, server-side waterfalls
4-client-client-side-data-fetching.md	🟡 MEDIUM-HIGH	4 rules	Client data management, SWR patterns, deduplication
5-rerender-re-render-optimization.md	🟡 MEDIUM	12 rules	Excessive re-renders, React performance, memoization
6-rendering-rendering-performance.md	🟡 MEDIUM	9 rules	Rendering bottlenecks, virtualization, image optimization
7-js-javascript-performance.md	⚪ LOW-MEDIUM	12 rules	Micro-optimizations, caching, loop performance
8-advanced-advanced-patterns.md	🔵 VARIABLE	3 rules	Advanced React patterns, useLatest, init-once

Total: 57 rules across 8 categories

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🚀 Quick Decision Tree

What's your performance issue?

🐌 Slow page loads / Long Time to Interactive
  → Read Section 1: Eliminating Waterfalls
  → Read Section 2: Bundle Size Optimization

📦 Large bundle size (> 200KB)
  → Read Section 2: Bundle Size Optimization
  → Check: Dynamic imports, barrel imports, tree-shaking

🖥️ Slow Server-Side Rendering
  → Read Section 3: Server-Side Performance
  → Check: Parallel data fetching, streaming

🔄 Too many re-renders / UI lag
  → Read Section 5: Re-render Optimization
  → Check: React.memo, useMemo, useCallback

🎨 Rendering performance issues
  → Read Section 6: Rendering Performance
  → Check: Virtualization, layout thrashing

🌐 Client-side data fetching problems
  → Read Section 4: Client-Side Data Fetching
  → Check: SWR deduplication, localStorage

✨ Need advanced patterns
  → Read Section 8: Advanced Patterns

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📊 Impact Priority Guide

Use this order when doing comprehensive optimization:

1️⃣ CRITICAL (Biggest Gains - Do First):
   ├─ Section 1: Eliminating Waterfalls
   │  └─ Each waterfall adds full network latency (100-500ms+)
   └─ Section 2: Bundle Size Optimization
      └─ Affects Time to Interactive and Largest Contentful Paint

2️⃣ HIGH (Significant Impact - Do Second):
   └─ Section 3: Server-Side Performance
      └─ Eliminates server-side waterfalls, faster response times

3️⃣ MEDIUM (Moderate Gains - Do Third):
   ├─ Section 4: Client-Side Data Fetching
   ├─ Section 5: Re-render Optimization
   └─ Section 6: Rendering Performance

4️⃣ LOW (Polish - Do Last):
   ├─ Section 7: JavaScript Performance
   └─ Section 8: Advanced Patterns

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🔗 Related Skills

Need	Skill
API design patterns	@[skills/api-patterns]
Database optimization	@[skills/database-design]
Testing strategies	@[skills/testing-patterns]
UI/UX design principles	@[skills/frontend-design]
TypeScript patterns	@[skills/typescript-expert]
Deployment & DevOps	@[skills/deployment-procedures]

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✅ Performance Review Checklist

Before shipping to production:

Critical (Must Fix):

• No sequential data fetching (waterfalls eliminated)
• Bundle size < 200KB for main bundle
• No barrel imports in app code
• Dynamic imports used for large components
• Parallel data fetching where possible

High Priority:

• Server components used where appropriate
• API routes optimized (no N+1 queries)
• Suspense boundaries for data fetching
• Static generation used where possible

Medium Priority:

• Expensive computations memoized
• List rendering virtualized (if > 100 items)
• Images optimized with next/image
• No unnecessary re-renders

Low Priority (Polish):

• Hot path loops optimized
• RegExp patterns hoisted
• Property access cached in loops

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❌ Anti-Patterns (Common Mistakes)

DON'T:

• ❌ Use sequential await for independent operations
• ❌ Import entire libraries when you need one function
• ❌ Use barrel exports (index.ts re-exports) in app code
• ❌ Skip dynamic imports for large components/libraries
• ❌ Fetch data in useEffect without deduplication
• ❌ Forget to memoize expensive computations
• ❌ Use client components when server components work

DO:

• ✅ Fetch data in parallel with Promise.all()
• ✅ Use dynamic imports: const Comp = dynamic(() => import('./Heavy'))
• ✅ Import directly: import { specific } from 'library/specific'
• ✅ Use Suspense boundaries for better UX
• ✅ Leverage React Server Components
• ✅ Measure performance before optimizing
• ✅ Use Next.js built-in optimizations (next/image, next/font)

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🎯 How to Use This Skill

For New Features:

1. Check Section 1 & 2 while building (prevent waterfalls, keep bundle small)
2. Use server components by default (Section 3)
3. Apply memoization for expensive operations (Section 5)

For Performance Reviews:

1. Start with Section 1 (waterfalls = biggest impact)
2. Then Section 2 (bundle size)
3. Then Section 3 (server-side)
4. Finally other sections as needed

For Debugging Slow Performance:

1. Identify the symptom (slow load, lag, etc.)
2. Use Quick Decision Tree above
3. Read relevant section
4. Apply fixes in priority order

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📚 Learning Path

Beginner (Focus on Critical): → Section 1: Eliminating Waterfalls → Section 2: Bundle Size Optimization

Intermediate (Add High Priority): → Section 3: Server-Side Performance → Section 5: Re-render Optimization

Advanced (Full Optimization): → All sections + Section 8: Advanced Patterns

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🔍 Validation Script

Script	Purpose	Command
scripts/react_performance_checker.py	Automated performance audit	python scripts/react_performance_checker.py <project_path>

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📖 Section Details

Section 1: Eliminating Waterfalls (CRITICAL)

Impact: Each waterfall adds 100-500ms+ latency Key Concepts: Parallel fetching, Promise.all(), Suspense boundaries, preloading

Section 2: Bundle Size Optimization (CRITICAL)

Impact: Directly affects Time to Interactive, Largest Contentful Paint Key Concepts: Dynamic imports, tree-shaking, barrel import avoidance

Section 3: Server-Side Performance (HIGH)

Impact: Faster server responses, better SEO Key Concepts: Parallel server fetching, streaming, API route optimization

Section 4: Client-Side Data Fetching (MEDIUM-HIGH)

Impact: Reduces redundant requests, better UX Key Concepts: SWR deduplication, localStorage caching, event listeners

Section 5: Re-render Optimization (MEDIUM)

Impact: Smoother UI, less wasted computation Key Concepts: React.memo, useMemo, useCallback, component structure

Section 6: Rendering Performance (MEDIUM)

Impact: Better rendering efficiency Key Concepts: Virtualization, image optimization, layout thrashing

Section 7: JavaScript Performance (LOW-MEDIUM)

Impact: Incremental improvements in hot paths Key Concepts: Loop optimization, caching, RegExp hoisting

Section 8: Advanced Patterns (VARIABLE)

Impact: Specific use cases Key Concepts: useLatest hook, init-once patterns, event handler refs

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🎓 Best Practices Summary

Golden Rules:

1. Measure first - Use React DevTools Profiler, Chrome DevTools
2. Biggest impact first - Waterfalls → Bundle → Server → Micro
3. Don't over-optimize - Focus on real bottlenecks
4. Use platform features - Next.js has optimizations built-in
5. Think about users - Real-world conditions matter

Performance Mindset:

• Every await in sequence = potential waterfall
• Every import = potential bundle bloat
• Every re-render = wasted computation (if unnecessary)
• Server components = less JavaScript to ship
• Measure, don't guess

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Source: Vercel Engineering Date: January 2026 Version: 1.0.0 Total Rules: 57 across 8 categories