Stop fighting your codebase and start building with purpose. Learn how to transform tangled components into a clean, feature-first architecture using focused hooks and predictable state management.

The ultimate test of clean architecture is how easy it is to remove code; when you keep boundaries strict, you can delete an entire feature folder and the rest of the app won't even blink.
A feature-first architecture organizes code into self-contained "kits" based on user functionality, such as features/cart or features/product-catalog, rather than grouping all hooks or components into giant generic folders. This approach makes the codebase more discoverable and scalable because all logic, components, and API calls related to a specific business goal live in one place. It prevents "digital archaeology" by allowing developers to find everything they need for a specific workflow within a single directory.
To avoid creating massive, unmanageable components, you should follow the "200-line rule" and the "Container-Presentational" pattern. If a component exceeds 200 lines, it is likely handling too many responsibilities like data fetching, validation, and layout. By separating the "how it works" (logic in custom hooks or containers) from the "how it looks" (stateless presentational components), you create code that is easier to test, read, and reuse.
The Public API pattern involves using an index.ts file within each feature folder to act as a gatekeeper. This file explicitly exports only the specific components or hooks that the rest of the application needs to access, hiding the internal "messy warehouse" of helper functions and sub-components. This encapsulation allows you to refactor the internal logic of a feature freely without breaking other parts of the app, as long as the public-facing interface remains the same.
While useState is ideal for simple, independent pieces of data like a toggle or a text input, useReducer is the better choice for "complex transitions" where multiple pieces of state change together. It centralizes logic into a pure function that handles specific actions, which prevents "impossible states"—such as being in a loading and success state simultaneously. This makes complex logic, like a shopping cart with discounts and taxes, much more predictable and easier to test.
Using one giant Context for various types of data, such as authentication, themes, and cart items, creates a "re-render bomb." Because any change to a Context value triggers a re-render for all components consuming that Context, updating a single item in a cart could cause unrelated parts of the app, like the navigation or footer, to refresh unnecessarily. The professional approach is to use "scoped contexts," creating separate providers for distinct data types to ensure better performance.
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