Adding Tests to Your JetBrains AI Project
How to add a testing framework to your JetBrains AI app. From zero tests to confidence in your code, written for non-technical founders.
Why your app needs tests
Most JetBrains AI projects ship with zero tests. This means every change is a gamble — you might fix one thing and break three others without knowing until a user reports it. Tests are automated checks that verify your app works correctly. They run in seconds and catch bugs before your users do.
Setting up testing
JetBrains AI can generate JUnit 5 tests within the IDE. Ensure your test configuration includes Spring Boot test slices (@WebMvcTest, @DataJpaTest) for focused testing. Use Testcontainers for integration tests against a real database rather than H2
What to test first
Test Spring Security configurations explicitly — verify that secured endpoints reject unauthenticated requests and enforce role requirements. Test transaction boundaries — ensure operations that should be atomic actually roll back on failure. Test repository methods against a real database, not just mocked return values
Types of tests explained
Unit tests check individual functions in isolation — does this function calculate the right total? Integration tests check that multiple pieces work together — does submitting this form save to the database? End-to-end (E2E) tests simulate a real user — can someone sign up, log in, and complete a purchase? Start with E2E tests for your most critical flows, then add integration tests for your API endpoints.
Running tests automatically
Set up your tests to run automatically on every code push using GitHub Actions or a similar CI service. This way, you'll know immediately if a change breaks something. A basic CI pipeline runs your tests, checks for TypeScript errors, and builds the project. If any step fails, the push is flagged before it reaches production.
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Related guides
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Security Issues in JetBrains AI Code
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Optimizing JetBrains AI-Generated Code for Performance
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