Devs know AI code is riddled with holes, but ship it anyway

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Developers are adopting AI-generated code even when they know it contains security and reliability gaps. The piece highlights the gap between enthusiasm for faster coding and the risk of shipping flawed software. It also points to broader concerns about how AI changes development practices and vulnerability exposure. For software vendors, the topic reinforces demand for tools that improve code review, testing, and DevSecOps workflows.

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