This article presents findings from a survey of over 1,100 developers examining their views on generative AI in coding. Key concerns include low trust in AI outputs, significant security risks, and the inconsistent verification of AI-generated code. The report also highlights how experience influences developers' interactions with AI tools.

A recent survey reveals that large language models (LLMs) are not producing performant code, as many developers still find the output lacking in efficiency and optimization. The findings suggest that while LLMs can assist in code generation, they may not yet meet the standards expected in professional software development environments.