stackoverflow.blog
Developers remain willing but reluctant to use AI
Developers are frustrated, and this year’s results demonstrate that the future of code is about trust, not just tools. ... In fact, trust in the accuracy of AI has fallen from 40% in previous years to just 29% this year. We’ve also seen positive favorability in AI decrease from 72% to 60% year over year. The cause for this shift can be found in the related data: - 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. When the code gets complicated and the stakes are high, developers turn to people. An overwhelming 75% said they would still ask another person for help when they don’t trust AI’s answers. … The adoption of AI agents is far from universal. ... When asked about "vibe coding"—generating entire applications from prompts—nearly 72% said it is not part of their professional work, and an additional 5% emphatically do not participate in vibe coding.
Related Pain Points3件
AI Agent Hallucination and Factuality Failures
9AI agents confidently generate false information with hallucination rates up to 79% in reasoning models and ~70% error rates in real deployments. These failures cause business-critical issues including data loss, liability exposure, and broken user trust.
Developers avoid AI for high-responsibility tasks due to accuracy concerns
776% of developers won't use AI for deployment/monitoring, and 69% avoid it for project planning. High-responsibility, systemic tasks carry too much risk for unverified AI outputs. This reflects both capability and trust gaps.
AI-powered development tools produce low-quality code
5While 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.