AI-generated Code: The Fourth Component of Software Development

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As organisations race to harness the potential of AI-generated code, Synopsys cautions businesses to beware of the hidden risks lurking within these innovative technologies. Contrary to assumptions, GenAI tools may inherit security and quality issues from the code they are trained on. Drawing parallels to the early days of open source software adoption, Jim Ivers, Vice President, Marketing, Synopsys Software Integrity Group shares an article on this, through the complexities of GenAI adoption and evolving landscape of software development.

aithority.com/, Apr. 03, 2024 – 

There is enormous attention on generative AI (GenAI) and its potential to change software development. While the full impact of GenAI is yet to be known, organizations are eagerly vetting the technology and separating the hype from the real, pragmatic benefits. In parallel, software security professionals are closely watching the practical impact of GenAI and how application security testing (AST) must adapt as adoption increases.

Overview of AI-generated code

AI-generated code (and AI coding assistants) will revolutionize software development, becoming the fourth major component of software, alongside proprietary, third-party commercial, and open source components.

However, since the LLMs powering AI coding assistants are trained on publicly available software (including open source software), organisations can't assume that AI-generated code is perfect. It can inherit the security and quality issues present in the code it was trained on, and result in license violations and potential IP risks when it is copied from open source. As in the early days of open source, fear of these risks is slowing the adopt of AI- generated code and preventing organisations from realising its full potential.

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