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Developer survey shows trust in AI coding tools is falling as usage rises
“AI solutions that are almost right, but not quite” lead to more debugging work.
That's because unlike outputs that are clearly wrong, these can introduce insidious bugs or other problems that are difficult to immediately identify and relatively time-consuming to troubleshoot, especially for junior developers who approached the work with a false sense of confidence thanks to their reliance on AI. Even as major improvements have recently come via reasoning-optimized models, that close-but-not-quite unreliability is unlikely to ever vanish completely; it's endemic to the very nature of how the predictive technology works. That's why 72 percent of the survey participants said that "vibe coding" is not part of their professional work; some feel it's too unreliable, and it can introduce hard-to-debug issues that are not appropriate for production.
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