Unsafe Code Still a Hurdle Copilot Must Clear.

This paper investigates the security implications of code generated by large language models (LLMs) like GitHub Copilot, which is trained on public repositories to assist developers with code completion. A systematic analysis of 89 programming scenarios revealed that around 40% of Copilot's outputs...

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Bibliographic Details

Published in:	Communications of the ACM Vol. 68; no. 2; pp. 95 - 96
Main Author:	Holz, Thorsten
Format:	Article
Published:	Association for Computing Machinery Feb2025
Subjects:	Language models Computer software development Generative artificial intelligence Computer programming Computer software quality control
Online Access:	View this record in EBSCOhost