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Hanselman:AI接管常规工作后,软件行业应借鉴护理导师制培养开发者

原标题:Podcast: How Will We Train Developers If AI Does the Routine Work: A Conversation with Scott Hanselman

InfoQ AI ML and Data Engineering观点质量 68

AI 摘要

微软GitHub副总裁Scott Hanselman在播客中提出,随着AI代理承担初级开发者原本的训练任务,软件行业应借鉴护理行业的导师制,设立专职培训新工程师的导师,并以培训效果而非代码产出作为考核标准。他指出AI擅长生成功能但架构设计能力差,工程师需作为审查者和协调者保持人类判断。他还警告企业过度追求短期优化会忽视人力资本和导师制投资,导致初级工程师培养管道崩溃,并强调远程工作、社交媒体与AI的结合加剧开发者孤立,需要有意的人际连接。

以上摘要由 AI 生成,可能存在误差。事实请以原文为准。

正文节选

In this podcast, Michael Stiefel spoke to Scott Hanselman about developing new software engineers when artificial intelligence agents are doing most of the work on which junior developers were trained. Hanselman suggests the software industry should adopt a preceptorship model similar to the nursing profession. Under this model, the industry needs preceptors whose sole job is to train new engineers, and these preceptors would be evaluated on how well they train people rather than how much code t


发布时间:2026-09-14 19:00
抓取时间:2026-09-14 19:51
来源机构:InfoQ
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