Most developers now use AI to write tests. Far fewer know how to tell a good AI-generated test from a dangerous one. That gap is what this course closes. You’ll go beyond “prompt it and hope” and build the judgment to generate test suites that genuinely protect your code — across the three most widely used languages in the industry today: JavaScript/TypeScript, Java, and Python.
You’ll work hands-on with four of the most important tools in AI testing:
- Diffblue Cover — autonomous JUnit generation for Java, no prompting required
- Claude Code, Cursor, and GitHub Copilot — agentic assistants that generate tests in your editor, and reusable workflows that make those results repeatable across your team
But tools are only half of it. The heart of this course is critical review. You’ll see how AI can quietly turn an existing bug into a passing test, how a suite with 100% line coverage can assert nothing meaningful, and why deleting a failing test is almost always the wrong move. You’ll learn to apply AI-driven TDD — where the AI writes failing tests from a spec, then writes the code to pass them, making it structurally impossible to encode a bug.
