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Digital Risk Bulletin

Challenges to Using Large Language Models in Code Generation and Repair

With the latest advances in LLMs, artificial intelligence (AI)-based code development assistants are increasingly part of day-to-day software development. A recent study of 500 U.S.-based developers showed that 92% use them for increased productivity and to automate repetitive tasks so that they can focus on higher-level challenging tasks. This article discusses some of the challenges arising from this wide-spread adoption.

Publication
IEEE Computer Society