Developer survey shows trust in AI coding tools is falling as usage rises

The article discusses the findings of a recent developer survey, which suggests that while the usage of AI-powered coding tools is increasing, the level of trust in these tools is declining. The survey reveals that developers are facing challenges with AI solutions that produce code that is "almost right, but not quite," leading to more debugging work. This has resulted in a decrease in trust in AI coding tools, despite their growing adoption. The article notes that the use of these tools has become more prevalent, with 75% of developers reporting that they use AI-powered coding assistants. However, the survey also found that only 34% of developers trust these tools, down from 45% in the previous year. The article highlights the need for AI coding tools to improve their accuracy and reliability to build greater trust among developers. As the adoption of these tools continues to rise, addressing the issues of imperfect code generation will be crucial for their long-term success and acceptance in the developer community.