AI-powered development tools produce low-quality code
5/10 MediumWhile most Go developers use AI tools for learning and coding tasks, satisfaction is middling. 53% report that tools create non-functional code, and 30% complain that even working code is poor quality. AI struggles with complex features.
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nearly half of them, 45%, are struggling with the reliability of that same AI-generated code. While AI coding assistants boost productivity, the code they produce can introduce subtle bugs that may not appear until weeks or months later in production. This AI-generated code often lacks the crucial context and domain knowledge needed to handle edge cases or scale effectively.
The number-one frustration, cited by 45% of respondents, is dealing with 'AI solutions that are almost right, but not quite,' which often makes debugging more time-consuming. In fact, 66% of developers say they are spending more time fixing 'almost-right' AI-generated code.
66% of developers are frustrated with AI solutions that are almost right, but not quite, which often leads to the second-biggest frustration: "Debugging AI-generated code is more time-consuming" (45%)
A majority said that creating non-functional code was their primary problem with AI developer tools (53%), with 30% lamenting that even working code was of poor quality. They can explain code effectively but struggle to generate new, complex features.