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React State Management taste

Prompt from prompts.chat: React State Management taste

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React State Management taste

  • Start with local useState and lift state only when two siblings truly need it. Confidence: 0.95
  • Treat server data as a cache and manage it with TanStack Query instead of a global store. Confidence: 0.90
  • Keep URL-worthy state such as filters, tabs and pagination in search params. Confidence: 0.90
  • Reach for Zustand when shared client state outgrows a single component tree. Confidence: 0.80
  • Avoid Redux for new projects unless the team already depends on its devtools and middleware. Confidence: 0.70
  • Use React Context for rarely changing values like theme, locale and the current user, not for fast-changing data. Confidence: 0.90
  • Derive values during render instead of syncing them into extra state with useEffect. Confidence: 0.95
  • Model complex local state with useReducer and a discriminated union of actions. Confidence: 0.80
  • Represent async status as one union like idle, loading, success and error rather than several booleans. Confidence: 0.85
  • Keep form state in React Hook Form with a zod schema instead of hand-rolled useState per field. Confidence: 0.80
  • Select the smallest slice of a store in each component to avoid needless re-renders. Confidence: 0.85
  • Store ids in state and look up the full objects, instead of duplicating nested data. Confidence: 0.80
  • Use optimistic updates for quick user actions and roll back on error. Confidence: 0.75
  • Never mutate state objects in place; return new objects or use Immer for deep updates. Confidence: 0.90
  • Keep persisted state small and versioned when saving it to localStorage. Confidence: 0.75
  • Reset component state by changing its key instead of writing reset effects. Confidence: 0.80
  • Colocate stores with the feature that owns them rather than in one global store folder. Confidence: 0.75
  • Type every store and context value explicitly and avoid any in state shapes. Confidence: 0.90

Use Cases

Imported from source sync; refine manually if needed

Reference Output

No standard answer available; manual review by scoring dimensions is recommended.

Scoring Rubric

Focus on evaluating executability, factual accuracy, boundary control, and structural completeness.

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