Spring Boot + Kotlin

Structure a scalable Spring Boot Kotlin backend using feature-oriented MVC packages. Each feature gets its own package with explicit domain boundaries separating controllers, services, repositories, and DTOs to reduce technical debt.

Use Kotlin data classes for type-safe DTOs and sealed classes for domain results and errors in Spring Boot. Apply safe extension functions to enforce null safety and maintain strict idiomatic Kotlin throughout the backend.

Set up JPA entities and DTO validation by mapping data classes to database tables and applying validation annotations. This ensures robust data integrity before processing requests in your Kotlin Spring Boot controllers.

Organize controllers, services, and repositories by grouping each domain feature into a single package. This MVC separation enforces clear boundaries, consistent naming, and scalable codebase growth for Kotlin Spring Boot APIs.

Yes, this approach provides comprehensive unit and integration testing guidance. It covers testing controllers, services, and repositories in real-world Spring Boot Kotlin projects to ensure robust API validation.

Yes, you can use sealed classes to model domain results and errors in Kotlin Spring Boot MVC architecture. This approach provides type-safe error handling and clear domain boundaries across your backend services.