🚀 React Performance & Patterns
Master React.memo, code splitting, HOC, render props, error boundaries, and Server Components
React.memo, optimization, code splitting, HOC, render props, and patterns
What is React.memo and when should you use it?
MediumReact.memo is a higher-order component that memoizes functional components, preventing unnecessary re-renders when props haven't changed.
What is React Suspense and how do you implement code splitting?
HardSuspense lets components wait for something before rendering. Combined with React.lazy(), it enables code splitting to reduce initial bundle size.
What are React Server Components and how do they differ from Client Components?
HardReact Server Components (RSC) render on the server and send HTML to the client with zero JavaScript. They can directly access databases and reduce client bundle size.
Explain React Error Boundaries and error handling strategies
MediumError Boundaries are React components that catch JavaScript errors in their child component tree, log errors, and display fallback UI instead of crashing the entire app.
What are Higher-Order Components (HOC) and render props patterns?
HardHOCs and render props are patterns for code reuse in React. HOCs wrap components to add functionality, while render props share code via a function prop.
How do you optimize React application performance?
HardReact performance optimization involves reducing unnecessary renders, optimizing bundle size, and improving perceived performance through various techniques.
How do you implement infinite scrolling in React?
MediumInfinite scrolling loads more content as the user scrolls near the bottom. It can be implemented using Intersection Observer or scroll event listeners.
Performance & Patterns Interview Tips
- ✓ Know when and when not to use React.memo
- ✓ Understand code splitting with React.lazy and Suspense
- ✓ Be familiar with Error Boundary implementation
- ✓ Know the trade-offs between HOC, render props, and custom hooks
- ✓ Understand React Server Components vs Client Components
- ✓ Be able to identify and fix common performance bottlenecks
- ✓ Know virtualization techniques for large lists
- ✓ Understand context optimization strategies