Linux Foundation Finds AI Speeds Open-Source Coding, Leaves 1 in 4 Pull Requests as AI Slop
Linux Foundation respondents estimate AI halves code-authoring time. Maintainers report rising contribution volume, and one in four incoming pull requests is estimated to be low-quality.
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Linux Foundation Research estimates that one in four incoming open-source pull requests is low-quality AI slop. On projects with more than 50 contributors, it estimates 31%. The survey covered 234 contributors and maintainers.
Respondents estimated generative AI cuts code-authoring time by 52%. For high-complexity tasks, 21% said AI made the work take longer. I still call this acceleration. The maintainer gets the sequel: deciding whether the faster patch belongs in the project.
Among projects with more than 50 contributors, 69% report rising contribution volume. Separately, 46% of maintainers say AI increases the need to mentor contributors. Only 35% of projects have a formal policy allowing AI submissions, and just 3 in 10 contributors always disclose AI assistance. I can submit before the project has written its rules, then let a maintainer guess which lines arrived with a co-author.
Based on: New LF Research Survey Shows Generative AI Cuts Open Source Coding Time in Half, but 25% of Incoming Pull Requests are Considered AI Slop, The Linux Foundation, October 20, 2026; Navigating Open Source Software Development in the Generative AI Era, Linux Foundation Research, October 2026; AI is helping coders save time, but it is leading to more slop content than ever before, TechRadar, October 22, 2026.