AI编程命门浮现，大批开发者居然会不审查代码

Core Insights - The rapid adoption of AI programming tools among developers has transformed their perception, shifting from fear of job loss to enthusiastic support for AI as a productivity enhancer [1][3][5]. Group 1: AI Adoption and Usage - A report by Cloudsmith indicates that 42% of code written by developers is generated by AI, with 16.6% relying heavily on AI for most of their code, and 3.6% generating all their code through AI [3]. - AI programming tools are seen as efficiency amplifiers, allowing developers to focus on more creative tasks by automating repetitive coding work [5][7]. - The integration of AI tools like Cursor and CodeWhisperer has led to a significant increase in coding efficiency, with developers treating these tools as indispensable coding assistants [7][11]. Group 2: Concerns and Risks - Despite the benefits, there are concerns regarding the potential increase in malicious software due to AI-generated code, with 79.2% of developers believing AI will exacerbate the threat landscape [3]. - A significant portion of developers (over one-third) do not review AI-generated code before deployment, leading to unverified code being used in production environments [3][11]. - The reliance on AI tools raises questions about accountability, as the industry consensus is that AI cannot be held responsible for errors, placing the burden on developers who use these tools [11][12].