test-suite-builder

Structure layered Kotlin Spring Boot tests by separating unit tests for business logic, slice tests for framework boundaries, and integration tests for end-to-end workflows. This approach balances speed, realism, and regression value while avoiding unnecessary full-stack boots.

Avoid using @SpringBootTest in JUnit 5 integration testing when validating specific framework boundaries like HTTP contracts or repositories. Overusing it boots the full application context unnecessarily; prefer slice tests to achieve faster execution and targeted regression value.

The best way to test Spring Boot controllers and repositories in Kotlin without booting the full stack is using slice tests. Slice tests validate specific framework boundaries like HTTP contracts and data access layers, ensuring fast execution and focused regression value.

Use MockK and JUnit 5 for unit testing Kotlin domain logic by creating deterministic tests for calculations and branching. Align with MockK and coroutine testing idioms to mock dependencies accurately, ensuring fast and isolated regression coverage for business logic.

Yes, this approach supports writing integration tests for Kotlin coroutine workflows in Spring Boot. It aligns with coroutine testing idioms to validate end-to-end flows realistically, ensuring that asynchronous business logic and serialization are properly covered without unnecessary mocks.

Kotlin Spring tests often misuse mocks and ignore coroutine idioms when applying generic AI output or improper patterns. Align with MockK and JUnit 5 coroutine testing idioms to avoid over-mocking, ensuring tests validate realistic behavior across unit, slice, and integration levels.