当 AI 能写代码修 bug，高考报计算机专业是“火坑”还是“新机遇” ｜深度对话 6 位专家

Core Viewpoint - The article discusses the impact of AI on the choice of college majors, particularly in computer science and software engineering, highlighting the shift from traditional coding to AI-assisted programming [1][2][8]. Group 1: AI's Influence on Programming - AI tools are increasingly capable of writing code, with AI reportedly generating 25% of new code for Google and fixing 52% of program bugs [2][4]. - The programming paradigm is shifting from "writing code" to "writing intent," where programmers interact with AI to generate code through natural language [4][5]. - The demand for entry-level programming positions is expected to decline significantly, with companies focusing on hiring experienced engineers [5][6]. Group 2: Value of Computer Science Education - Experts agree that despite the rise of AI, a degree in computer science or software engineering remains valuable due to the foundational skills it provides, such as problem-solving and critical thinking [10][15][17]. - The introduction of AI tools can enhance efficiency by automating repetitive coding tasks, but human oversight and creativity remain essential [11][12][21]. - The ability to clearly articulate requirements and design solutions is increasingly important, as AI cannot fully replace the need for human judgment and creativity [12][22][30]. Group 3: Skills for the Future - Core skills such as algorithms, data structures, and system design will continue to be crucial, even as some routine coding tasks become automated [27][28][31]. - Skills related to innovation, system architecture, and effective communication are expected to gain importance in the AI era [34][38]. - Lifelong learning and adaptability are emphasized as essential traits for future professionals in the tech industry [36][38].