The integration of generative AI, specifically large language models (LLMs), into software development processes presents challenges in ensuring the quality and reliability of the generated code. To mitigate these challenges, technology leaders should establish rigorous testing and code review processes, treat AI-generated code as a starting point, and implement static code analysis tools and CI/CD pipelines.
