mobile-state

To separate server state from client state for offline persistence, you must classify your app's data map into server state, shared client state, and local UI state, applying TTL-based invalidation for server data and client stores for local persistence.

The best way to handle optimistic updates and server-state caching is to implement a phase-driven architecture that separates server data caching with TTL invalidation from client state stores, ensuring fast UI updates and data freshness.

Yes, this mobile state management approach works for both new apps and refactors, specifically targeting applications requiring clear server versus client state separation, optimistic updates, and persistence for offline readiness.

Mixing server data and local UI state causes stale UI and poor offline behavior because unpredictable data flows lead to discarded changes and synchronization failures, requiring strict phase-driven data management to resolve.

Yes, you can use this architecture to optimize re-renders and manage cross-screen data in SwiftUI by leveraging client state stores for shared data and phase-driven design guidance for rendering optimization.

You need TTL-based invalidation for server-state caching when you want to keep client data fresh without over-fetching, preventing stale UI and ensuring persistent offline readiness during network fluctuations.