Start by clarifying requirements and constraints, then outline a component architecture with a clear separation of concerns. Discuss state management (server state vs UI state), data fetching, and how you'd handle CRUD operations with optimistic updates and error handling. Finally, cover accessibility and performance optimizations like virtualization and memoization, explaining trade-offs.
Pro tip: Emphasize that you'd use a library like React Query or SWR for server state to handle caching, optimistic updates, and error retries, while keeping UI state local. This shows you understand the distinction and avoid reinventing the wheel.
Ask about data volume, real-time updates, API design, and browser support to tailor your solution. This demonstrates you consider context before diving into implementation.
Propose a component hierarchy (e.g., DataTable, TableHeader, TableRow, EditableCell) and decide on state management: local state for UI, server state with a library like React Query for data fetching and mutations.
Explain how you'd handle create, read, update, delete operations, using optimistic updates for responsiveness and rolling back on error. Discuss error boundaries, toasts, and retry logic.
Cover ARIA roles, keyboard navigation, and focus management. For performance, discuss virtualization (react-window, react-virtualized) and memoization (React.memo, useMemo, useCallback) to avoid unnecessary re-renders.
Summarize trade-offs (e.g., library vs custom, virtualization complexity) and mention testing strategies (unit, integration, E2E) to ensure reliability.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.