Explore the effectiveness of AI-generated tests through a hands-on coding challenge that pits artificial intelligence against mutation testing using the PI-Test framework. Discover whether AI coding assistants like ChatGPT truly deliver quality tests or merely provide superficial coverage that looks impressive but fails under rigorous scrutiny. Learn to evaluate AI-generated test suites using mutation testing techniques, understand the limitations of relying solely on line and branch coverage metrics, and develop the skills to determine when AI-generated tests are genuinely helpful versus when manual test writing is necessary. Gain practical insights into Test-Driven Development practices and acquire the knowledge to make informed decisions about when to accept or reject AI assistance in your testing workflow.