In this article, we argue that AI slop in software is creating a tragedy of the commons. Individual productivity gains from AI-generated content externalize costs onto reviewer capacity, codebase integrity, public knowledge resources, collaborative trust, and the talent pipeline. AI slop is cheap to generate and expensive to review, and the review layer is already thin. Commons problems are not solved by individual restraint. We outline concrete next steps for tool developers, team leads, and educators, grounded in Ostrom's design principles for enduring commons institutions.

翻译：本文认为，软件领域中AI生成的劣质内容正在引发公地悲剧。个体通过AI生成内容获得的生产力提升，其成本却被外部化为审阅者负荷、代码库完整性、公共知识资源、协作信任以及人才储备的损失。AI劣质内容生成成本低廉而审阅成本高昂，而本已脆弱的审阅机制正面临更严峻的挑战。公地问题无法通过个体自律解决。基于奥斯特罗姆关于持久公地制度的设计原则，我们为工具开发者、团队领导者和教育工作者提出了具体对策。