AI is great at coding, but there are some massive caveats

Creating and testing code at the touch of a button through generative artificial intelligence (AI) models, such as GitHub CoPilot or ChatGPT, almost seems too good to be true. So good, in fact, that there has to be a catch.

While software professionals are embracing AI as a power tool to build, launch, and update applications, there is also nervousness about its intellectual property and security implications. Is that AI-generated code scraped from someone else’s intellectual property? Does the model draw on internal corporate data that should be kept secure?

Also: How to use ChatGPT to write code

Technologists recognize that AI adoption requires attention to rights, privacy, security, productivity, and training, according to a GitLab survey of 1,001 developers and executives, conducted in June.

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