Spec-Driven Development in Java with TDD and Claude Code

About this course

_________________________________________________________________________________________________EARLY ACCESS — This course is actively being extended. You currently get 100 lectures covering the complete AI+TDD workflow end-to-end on a real feature. New sections are being added over the coming weeks — enrol now and get everything at the early access price._________________________________________________________________________________________________Most AI coding courses teach you to generate code. This one teaches you to engineer it.

AI can write code quickly. Trusting that code is a different problem. In real projects, it often misses edge cases, introduces subtle bugs, and produces logic that looks correct but isn't. You end up checking everything yourself, fixing issues manually, and the speed advantage disappears.

The issue isn’t speed. It’s control.

Without a clear way to define and verify behaviour, fast code generation just creates more work. This is where a structured, spec-driven workflow becomes useful.

In practice, this means starting from behaviour, not implementation. You need to define what the system should do using concrete examples, turn those into acceptance tests, then use TDD to build the code in small, verified steps. AI helps at every stage — exploring requirements, suggesting tests, generating code — but the specifications and tests define what "correct" means. You make AI work within that structure, not around it.

WHAT YOU WILL BUILD

You'll build a production-ready cashback rewards API in Spring Boot from start to finish. But Spring Boot is the vehicle, not the destination.

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