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Separation of concerns

As explained in Build AI-Enhanced Web Apps

Separation of concerns is a software design principle that divides a system into parts with distinct responsibilities.

Separation of concerns divides an application into modular components with distinct responsibilities and clear boundaries. This makes individual parts easier to modify, replace, reuse, and maintain without affecting the entire codebase. section 3.1.2

Apply the principle by separating high-level intent from its concrete implementation:

  • Define an intent such as generateText, autocomplete, or suggestion to describe the feature the application provides. section 3.1.2
  • Assign an action that performs the work, such as calling an API, database, model, or chat-completion operation. section 3.1.2
  • Connect intents and actions through interfaces or abstractions so implementations can change independently. section 3.1.2
  • Keep AI logic outside UI components, making state flow more predictable and debugging more direct. section 8.1.3

Separating a chat interface

A ChatList component renders messages and loading feedback, while a useChatFormSubmit hook owns input state, loading state, message updates, and the assistant request. The page coordinates these pieces without containing all presentation and interaction logic itself. section 2.5.4

Figure 3.1 Separation of concerns between intents and actions. The intent (left) represents the high-level feature or functionality, such as generateText. The action (right) represents the specific implementation or concrete steps to fulfill the intent, such as making a chatCompletion request. The arrow signifies the connection point that bridges the intent with its corresponding action, facilitating communication and interaction between the two components.

Trace the connection between the generateText intent and the chatCompletion action, including the abstraction boundary that links them. section 3.1.2

How Build AI-Enhanced Web Apps covers it

How deep it goes
Explains responsibilities, intent-action mapping, abstractions, and React extraction patterns, but stops short of detailed interface code.
Examples
Uses generateText and chatCompletion, plus ChatList and useChatFormSubmit, to demonstrate architectural and React-level separation.
What it assumes
Builds from familiar application features and introduces intent, action, interfaces, abstractions, and custom hooks within that context.
What you can do after
Apply it via React custom hooks and abstractions to isolate AI logic, simplify state flow, and improve maintainability and testability.
How it connects
Connects intents and actions with abstraction layers, state management, React components, custom hooks, testing, and provider abstraction.

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This explainer was generated by Manning's knowledge graph from the text of Build AI-Enhanced Web Apps. The section links point to the parts of the book it draws on.