What are common mistakes in state management?

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Accepted Answer

Common mistakes in state management often include over-engineering solutions for simple applications, leading to unnecessary complexity and increased boilerplate. Developers frequently struggle with mutable state updates, which can cause unpredictable side effects and make debugging challenging due to difficult-to-trace changes. Another prevalent issue is prop drilling, where data is passed down through numerous intermediate components, making the codebase less maintainable and harder to refactor. Additionally, a lack of clear separation of concerns frequently blurs the lines between UI logic and actual business logic, complicating testing and modularity. Ignoring performance optimizations, such as memoization or selective re-renders, often results in slow applications with excessive re-renders. Finally, failing to normalize complex data structures can lead to redundant data and increased difficulties when attempting to update or manage state consistently across the application.