For all of the hype and hysteria surrounding large language models (LLMs), the use of these models in tools focused on writing and understanding code demonstrate potential. For experienced developers, the tools can boost productivity, allowing for faster work and more time in the integrated development environment (IDE) versus searching for answers in documentation or Stack Overflow.

This paper covers the risks of AI coding assistants in building enterprise software and outlines controls and techniques you can use to minimize these risks. The good news is with the proper tooling and process, you can catch security issues before they make it into your production code.

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