Thoroughly testing code is essential to ensuring software reliability and functionality. This is achieved by ensuring a certain percentage of code is covered before releasing software or moving to the next development phase. Achieving high code coverage is sometimes challenging as test cases are generated manually by developers and testers with potentially incomplete knowledge of all possible use cases or edge conditions. Meta has developed a large language model (LLM) that can address this limitation by generating tests that can improve coverage metrics and assess the quality of tests more effectively. This tool, called TestGen-LLM, represents a breakthrough in software quality analysis, as it is the first LLM application included in large-scale production systems. SQA Managers should consider the benefits of including LLMs like TestGen-LLM in their testing workflows to enhance test quality, efficiency, and, ultimately, the reliability of their software products.