AI now writes most of your test code, and that changes the skill you need. The bottleneck is no longer typing tests by hand; it's knowing what good tests look like, where each kind belongs, and how to prompt AI to produce them. Without that understanding, you get tests that pass but verify nothing.

This session gives you the full picture of testing Spring Boot applications, so you can direct AI with confidence instead of trusting it blindly.

We'll cover the complete testing pyramid: fast unit tests, sliced tests that load only the part of the context you need, and integration tests that exercise the real thing with Testcontainers. For each level, you'll see when to reach for it, what it actually proves, and how to prompt AI to write it well.

Along the way you'll collect practical patterns and recipes you can apply directly to your own codebase, plus the common pitfalls that produce slow, flaky, or misleading tests. We'll close with quick wins that improve almost any Spring Boot test suite.

Whether you're newer to Spring Boot testing or want to sharpen how you collaborate with AI tools, you'll leave knowing not just how to write tests, but how to judge whether the ones AI hands you are worth keeping.