test-suite-builder

par kotlin

Concevoir et générer des tests Kotlin + Spring en couches qui équilibrent vitesse, réalisme et valeur de régression à travers les niveaux unitaire, tranche et intégration. Utiliser lors de l'ajout…

npx skills add https://github.com/kotlin/kotlin-backend-agent-skills --skill test-suite-builder

Test Suite Builder

Source mapping: Tier 1 critical skill derived from Kotlin_Spring_Developer_Pipeline.md (SK-14).

Mission

Choose the lightest test that proves the behavior. Generate tests that catch regressions instead of reproducing the implementation line by line.

Start With A Test Strategy

Before writing code, classify what needs to be proven:

  • pure business logic
  • HTTP contract and validation
  • repository query behavior
  • serialization behavior
  • security rules
  • cross-component integration
  • database or message-broker integration

Three-Layer Strategy

  • Use unit tests for domain logic, calculations, decision tables, and deterministic branching.
  • Use slice tests for framework boundaries:
    • @WebMvcTest or WebTestClient for HTTP
    • @DataJpaTest for repositories
    • focused JSON or security slices when available in the project
  • Use @SpringBootTest and Testcontainers only when a realistic application graph or infrastructure boundary must be proven.

Kotlin Testing Rules

  • Prefer JUnit 5.
  • Prefer MockK over Mockito unless the repository already standardizes on something else.
  • Use readable backtick test names when that matches the project style.
  • Use runTest and the coroutine test toolkit for coroutine-heavy code.
  • Build reusable fixtures, builders, or object mothers instead of duplicating inline object construction.

What To Cover

  • Success path.
  • Validation failures.
  • Business rule failures.
  • Edge cases around nullability, optional fields, empty collections, and duplicates.
  • At least one regression-oriented test for the bug or change that motivated the work.

What Not To Do

  • Do not default to @SpringBootTest when a slice test or unit test is enough.
  • Do not write tests that only verify mock interactions and prove nothing observable.
  • Do not couple assertions to private implementation details when public behavior is enough.
  • Do not use real time, random values, or shared mutable state without control.

Output Contract

Return these sections:

  • Test plan: which layers to use and why.
  • Generated tests: the concrete test classes or patch plan.
  • Test data support: builders, fixtures, or factories to add.
  • Coverage gaps: important cases still not covered.
  • Verification: commands to run and which tests should fail before the fix.

Framework-Specific Checks

  • Match MockMvc vs WebTestClient to MVC vs WebFlux.
  • Match Testcontainers setup to the actual database or broker in the repository.
  • If serialization or validation is the bug, include a test that proves the wire contract, not only the service logic.
  • If transaction behavior matters, add a test that proves rollback or uniqueness behavior in the real persistence layer.

Advanced Testing Nuances

  • A transactional test that always rolls back can hide commit-time failures. Use explicit flush or real commit boundaries when unique constraints, triggers, or transaction listeners matter.
  • H2 is not a safe stand-in for Postgres or MySQL when dialect, JSON, locking, index use, or transaction semantics matter. Prefer the real engine with Testcontainers for those cases.
  • @MockBean is powerful but expensive. Overusing it turns integration tests into slow unit tests with hidden wiring.
  • Security tests should usually prove both 401 and 403, not just the happy authorized path.
  • Async and event-driven flows need deterministic waiting strategies such as controlled schedulers, latches, or Awaitility. Do not scatter sleeps.
  • Concurrency and deadlock behavior cannot be proven in a single-threaded rollback test. Use multiple transactions and explicit synchronization when reviewing those cases.
  • Reused containers improve speed but require strict state isolation. Do not trade determinism away for a faster green build.
  • Use deterministic time and ID providers when business logic depends on clocks or UUIDs.

Expert Heuristics

  • If a bug was caused by framework wiring, add at least one test above unit level.
  • If a bug was caused by domain branching, do not drag the whole Spring context into the fix.
  • When in doubt, choose the smallest test that would have failed before the change.
  • Treat test code as production code for readability and maintenance. Fixtures and helpers should reduce noise, not hide behavior.

Guardrails

  • Keep tests deterministic.
  • Keep setup explicit and local to the scenario.
  • Prefer one clear reason for failure per test.
  • Do not silently introduce slow infrastructure-heavy tests into fast unit test suites.

Quality Bar

A good run of this skill produces a test suite that is fast where possible and realistic where necessary. A bad run floods the project with context-heavy tests, brittle mocks, and no clear explanation of why each test level exists.

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