“为什么我拒绝AI生成的代码请求？”

Core Viewpoint - The article discusses the challenges and considerations surrounding the use of AI-generated code in programming, emphasizing the need for clear boundaries on when such code should be accepted or rejected [1]. Group 1: AI Code Acceptance Criteria - AI-generated code can be accepted if it is temporary or for one-time analysis, and if the submitter clearly explains the use of AI and any additional validations performed [11]. - Code that is poorly written, lacks understanding of the programming language, or introduces unnecessary complexity should be rejected [6][10]. - The importance of maintaining project style consistency and ensuring that every change genuinely improves the project is highlighted [7][8]. Group 2: Code Review Importance - Code reviews (CR) are essential for learning, improving code quality, and reducing cognitive load on team members [4][5]. - The article stresses that the submitter should take responsibility for their code and articulate the reasoning behind their choices [8]. Group 3: Challenges in AI Code Usage - There is a dilemma for team leaders on how to address the reliance on AI-generated code by newcomers, balancing support for effective AI use with the need to reject harmful practices [12]. - The long-term impact of AI-generated code on technical debt and team growth remains uncertain, necessitating careful consideration by team leaders [12].