AI-generated code functions but often lacks structure and clarity, requiring Test-Driven Development (TDD) for improvement.The experiment showed that AI can produce functional code, but using TDD significantly enhanced its quality.Initial observations revealed that AI-generated code was challenging to debug and comprehend due to its monolithic structure.The AI's code lacked clean, maintainable practices common in TDD-based development.Implementing TDD led to the AI producing better-structured code with reduced complexity.AI followed TDD steps but showed hesitancy in refactoring without tests and lacked software craftsmanship principles.The experiment highlighted the importance of human oversight, test validation, and quality principles in building high-quality code.While AI can assist in code generation, human expertise is crucial for ensuring the creation of scalable and adaptable software.TDD isn't just about tests, it's about designing better software through small, incremental steps.AI can accelerate the journey towards high-quality products, but it still requires human judgment and expertise for optimal outcomes.