Master React interviews with AI. Practice hooks, state management, component patterns, and performance optimization for React and frontend developer positions.
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Mastery
All patterns
Management
Context, Redux
Optimization
Memo, callbacks
Feedback
Instant analysis
What interviewers expect you to know
useState, useEffect, useCallback, useMemo, useRef, useContext. Custom hooks patterns and when to extract logic.
Context API, Redux (thunk, saga), Zustand, Jotai. When to use local vs global state. State lifting patterns.
How React diffing works, key props importance, fiber architecture basics, and rendering optimization.
React.memo, useMemo, useCallback, lazy loading, Suspense, code splitting, and profiling tools.
Comprehensive React interview preparation
useState, useEffect, custom
Context, Redux, Zustand
Patterns, composition
Reconciliation
Memo, optimization
RTL, Jest
SSR, routing
Patterns, anti-patterns
Frontend interview simulation
Hooks
All patterns
State
Local & global
Components
Composition
Lifecycle
Effects, cleanup
Performance
Optimization
Testing
RTL, Jest
Next.js
SSR, routing
Patterns
Best practices
Practice these and more
Explain the difference between useCallback and useMemo. When would you use each, and what problems do they solve?
When would you choose Context API over Redux? What are the trade-offs of each approach?
Implement a custom hook useDebounce that debounces a value. Then use it to build a search input with API calls.
This component re-renders too often. Identify the problem and fix it without over-optimizing.
Practice React interviews
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