The integration of AI into software development has the potential to significantly reduce the time and effort required for manual tasks like writing unit tests and performing code reviews. My early explorations have demonstrated how we can leverage off-the-shelf AI tools together with the emerging Dagger open source framework to create scalable, distributed workflows that use AI to automate and improve these processes. Implementing systems with a self-corrective loop should lead to higher code quality while reducing the testing burden on developers