Test-Driven Development (TDD) has been a stalwart of software engineering for years, delivering reliable, modular code that stands the test of time. As we now find ourselves in the early days of the AI era, TDD isn't just enduring, it's evolving. AI-powered tools are supercharging TDD, turning it into a faster, smarter process that builds on its original strengths. More than just an improvement, the utilization of AI means that TDD isn't only more powerful, but also more vital than ever. As we become more dependent on AI-accelerated workflows, the demand for thorough, rigorous testing practices is increasing, underlining the ever-growing importance of TDD in today's software development landscape.

In this talk, we’ll explore how AI enhances the TDD process, making it easier to generate comprehensive test cases, uncover edge cases, and refactor code with confidence. Through automation and intelligent analysis, AI reduces the effort required for manual test creation and debugging, freeing developers to focus on innovation and problem-solving. The result? Higher-quality software delivered in less time.

Whether you’re new to TDD or an experienced practitioner looking to adapt to the AI revolution, this talk will offer insights, strategies, and practical examples to help you navigate this transformative moment in software development.