AI Slop and the Software Commons

April 17, 2026 ยท Grace Period ยท + Add venue

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Authors Sebastian Baltes, Marc Cheong, Christoph Treude arXiv ID 2604.16754 Category cs.SE: Software Engineering Citations 0
Abstract
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.
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