5 Things AI Can't Do, Even in Redux Toolkit

This report examines important technical and conceptual challenges AI-assisted tools can encounter when using Redux Toolkit or RTK. Beyond conveniences Redux Toolkit offers, situations were addressed where AI assistants can fail in five critical topics: store architecture and normalization, complex async flows and side effects, middleware ordering and composition, performance and memoization traps, and update/upgrade and ecosystem compatibility. Each section provided technical details, concrete scenarios where AI can make errors, and real-world examples. For instance in Store Architecture, importance of data normalization using createEntityAdapter in RTK was explained. AI generally leads to chaos by putting related data in wrong model. In Async Flows section, example given how not handling errors correctly with createAsyncThunk causes problems. In Middleware section, emphasized that middleware arrangement inside configureStore must be given as callback. If AI gives array directly and d