asyncredux-selectors

You can speed up Flutter widget rebuilds by applying cached selectors to derived AppState data. This prevents unnecessary recomputations for complex structures like filtered lists, paging, or computed aggregates, ensuring widgets only rebuild when underlying state actually changes.

Memoization in Flutter state management is the practice of caching selector results to avoid repeated work. By storing the output of derived AppState calculations, selectors instantly return previous results when the state has not changed, significantly reducing rebuild overhead.

Yes, you can use parameterized selectors in AsyncRedux. The framework provides specific caching helpers like cache1state_1param, allowing you to pass arguments to selectors while maintaining memoization to efficiently derive filtered or computed data.

Yes, the caching approach works for both widgets and Redux actions. You can organize and apply selectors across your AsyncRedux app to promote reuse and consistency, ensuring selective rebuilding and efficient state access throughout your architecture.

You should implement cached selectors when your Flutter app manages complex AppState with derived data like filtered lists, paging, or computed aggregates. They are essential when you experience performance bottlenecks from unnecessary recomputations during frequent widget rebuilds.

The best way to manage multiple state inputs is using dedicated cache helpers like cache2states. These utilities allow your selectors to safely derive data from multiple parts of the AppState simultaneously while preserving memoization and enforcing best practices for selective rebuilding.