State Management
State Management Patterns
State choices determine how predictable your UI feels. These patterns help you reason about where data lives, who updates it, and how to keep components in sync without endless prop drilling.
State choices determine how predictable your UI feels. These patterns help you reason about where data lives, who updates it, and how to keep components in sync without endless prop drilling.
Specific, reusable techniques you can drop into production.
Perform server-side validation checks without blocking user interaction.
Manage data that only affects a single component internally.
Handle concurrent updates and data conflicts in distributed systems with last-write-wins, operational transforms, or CRDTs.
Synchronize form inputs with component state for full programmatic control.
Provide dependencies from the outside rather than creating them internally for better testability.
Compute values from existing state rather than storing redundant data.
Validate individual form fields as users interact with them for immediate feedback.
Implement unidirectional data flow architecture with actions, dispatchers, stores, and views.
Leverage third-party form libraries to handle complex validation and submission logic.
Model form states (pristine, dirty, submitting, error) as explicit state transitions.
Validate entire forms on submission to check cross-field rules and constraints.
Treat state as immutable and create new copies when making changes for predictability.
Defer expensive state calculations until the first render when they're needed.
Break long forms into sequential steps with progress tracking and navigation.
Divide application state into multiple independent stores for better separation of concerns.
Structure state as flat lookup tables to avoid data duplication and simplify updates.
Allow multiple components to subscribe and react to state changes automatically.
Decouple components through event-based communication without direct references.
Compute derived data from state and memoize results to optimize re-renders.
Distinguish between data owned by the server (cached temporarily) and local UI state for proper management strategies.
Provide a centralized registry for accessing shared services throughout the application.
Centralize all application state in one location for predictable updates.
Group multiple state updates together to minimize re-renders and improve performance.
Keep state as close as possible to where it's used to reduce complexity. (See also: Colocation Pattern)
Move state up the component tree to share it between sibling components.
Use reducer functions to handle complex state transitions with predictable logic.
Keep component state in sync with external data sources or other components.
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