How do you separate logic within your code?
I use a layered architecture: Controllers handle HTTP requests/responses, Services contain business logic, and Repositories manage data persistence. Each layer has a single responsibility.
Why should Controllers be thin and free of business logic?
Thin controllers ensure better separation of concerns, making code more testable, maintainable, and scalable. Business logic belongs in Services, not Controllers.
What is the role of a Service layer in application architecture?
The Service layer holds business rules, coordinates workflows, and orchestrates interactions between Controllers and Repositories.
Why should data access logic be isolated in Repositories?
Repositories abstract data access, ensuring persistence logic is decoupled from business rules and controllers, improving testability and maintainability.
How does layered separation improve code testability?
With logic isolated in Services and Repositories, you can unit test them independently of HTTP layers, ensuring more reliable and faster tests.
What are NestJS Guards and why are they important for logic separation?
Guards handle authorization and role checks outside of Controllers and Services, keeping security logic centralized and reusable.
How do Pipes help in keeping controllers clean?
Pipes handle validation and data transformation before it reaches the Controller or Service, reducing boilerplate and enforcing clean data contracts.
What’s an example of a cross-cutting concern you’d handle with Middleware?
Logging, request timing, or global request validation are cross-cutting concerns best handled with Middleware to keep Controllers clean.
When would you introduce a Domain Service or Use Case layer?
For large projects with complex business logic, introducing Domain Services or Application Use Cases helps structure workflows clearly beyond simple Services.
How would you explain code organization trade-offs in an interview?
I’d explain that layered separation improves code clarity, maintainability, and scalability, but acknowledge that for very small scripts, over-engineering layers could slow down delivery unnecessarily.