[Submitted on 28 Mar 2026 (
[v1](https://arxiv.org/abs/2603.27249v1)), last revised 28 Aug 2026 (this version, v4)]
[View PDF](https://arxiv.org/pdf/2603.27249)
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Abstract:"AI slop", that is, low-quality AI-generated content, is increasingly affecting software development, from generated code and pull requests to documentation and bug reports. However, there is limited empirical research on how developers perceive and respond to this phenomenon. We qualitatively analyzed how developers discuss AI slop in 1,154 Reddit and Hacker News posts, developing a codebook of 15 codes organized into three thematic clusters: Review Friction (how AI slop burdens reviewers, erodes trust, and prompts countermeasures), Quality Degradation (damage to codebases, knowledge resources, and developer competence), and Forces and Consequences (systemic incentives, mandated adoption, craft erosion, and workforce disruption). Our findings frame AI slop as a tragedy of the commons, where individual productivity gains externalize costs onto reviewers, maintainers, and the broader community. We report the concerns developers raise and the mitigation strategies they propose, with implications for tool developers, team leads, and educators.
Submission history #
From: Sebastian Baltes [
[view email](https://arxiv.org/show-email/63e7c1c0/2603.27249)]
**Sat, 28 Mar 2026 11:50:53 UTC (67 KB)**
[\[v1\]](https://arxiv.org/abs/2603.27249v1)
**Tue, 9 Jun 2026 19:54:49 UTC (875 KB)**
[\[v2\]](https://arxiv.org/abs/2603.27249v2)
**Sat, 13 Jun 2026 05:01:26 UTC (958 KB)**
[\[v3\]](https://arxiv.org/abs/2603.27249v3)
**[v4]** Fri, 28 Aug 2026 08:51:07 UTC (959 KB)
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