As software systems become more complex, traditional testing methods often fall short in keeping up with the fast-paced development cycles and changing user needs. Fortunately, advancements in machine learning and generative AI are bringing intelligent and adaptive testing strategies that improve test coverage and decrease maintenance efforts to speed up the entire testing process. 

This article details using large language models (LLMs) to test a Python codebase project.