Performance patterns
Skill subhansh-dev/agent-maxxing/engineering/performance-patterns
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Performance optimization patterns — lazy loading, caching, memoization, code splitting, bundle optimization.
SKILL.md
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Performance Patterns
Frontend Performance
Lazy Loading
const HeavyComponent = lazy(() => import('./HeavyComponent'))
Load components only when needed. Use for routes, modals, below-fold content.
Memoization
const memoizedValue = useMemo(() => computeExpensiveValue(a, b), [a, b])
const memoizedFn = useCallback(() => doSomething(a, b), [a, b])
Cache expensive computations and function references.
Code Splitting
Split your bundle by route or feature. Users only download what they need.
Image Optimization
- Use WebP/AVIF formats
- Lazy load below-fold images
- Use responsive images (srcset)
- Compress images (tinyPNG, Sharp)
CSS Performance
- Use
transformandopacityfor animations (GPU-accelerated) - Avoid
layouttriggers (width, height, margin, padding) - Use
will-changesparingly - Minimize repaints with
contain
Backend Performance
Caching
- Cache database queries (Redis, in-memory)
- Cache API responses (HTTP caching headers)
- Cache expensive computations (memoization)
- Cache rendered pages (SSR cache)
Database Optimization
- Add indexes for frequent queries
- Use connection pooling
- Batch inserts/updates
- Avoid N+1 queries
- Use EXPLAIN ANALYZE
Async Operations
- Don't block the event loop
- Use worker threads for CPU-intensive tasks
- Stream large responses
- Queue background jobs
Measurement
- Lighthouse — overall performance score
- Core Web Vitals — LCP, FID, CLS
- Chrome DevTools — Performance tab, Lighthouse tab
- webpack-bundle-analyzer — bundle size visualization
- ab / wrk — load testing
Common Anti-Patterns
- Loading everything upfront
- Not caching expensive operations
- Synchronous database calls in loops
- Large bundle sizes (no code splitting)
- Unoptimized images (no lazy loading, wrong format)
- Layout thrashing (reading layout then writing)