AI Slop and the Software Commons
For software teams and tool developers, this paper highlights a growing problem of low-quality AI contributions degrading shared codebases and review processes.
The article argues that AI-generated code (AI slop) creates a tragedy of the software commons, where individual productivity gains externalize costs on review capacity, codebase integrity, and collaborative trust. It proposes solutions based on Ostrom's design principles for commons management.
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.