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Frontend State and Data Architecture Questions

Designing scalable frontend application architecture and managing application state and data flow across large code bases. Covers component hierarchy, folder and module organization, separation of concerns, and patterns for composing UIs so they remain maintainable as the application grows. Includes evaluating and selecting state management approaches such as centralized stores versus local component state, context based mechanisms, and third party state libraries; explaining trade offs among options, strategies to avoid prop drilling, techniques for lifting state up, and patterns for predictable data flow. Also covers data persistence concerns within frontend applications including local storage, client side databases, serialization and hydration, handling configuration changes and process restarts, caching strategies, offline support, synchronization with remote back ends, optimistic updates, side effect management, testing of stateful code, and approaches to incrementally migrate or modularize state in large teams.

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