// ITS FOSS — LINUX & OPEN SOURCE
Red Hat Funded a Report That Found a Quarter of Incoming Pull Requests May Be AI Slop
LF Research is the Linux Foundation's research arm. It was set up in 2021 and publishes studies on how open source is built and used, drawing on surveys and project data.
Its latest report, Navigating Open Source Software Development in the Generative AI Era, surveyed 234 contributors and maintainers on how generative AI is affecting the way open source gets made.
The survey estimates that about 25% of incoming pull requests are low-quality AI slop, with the estimate climbing to 31% on larger projects.
Red Hat sponsored the report, with additional contributions from OpenSSF, LF AI & Data, and Futurewei.
Large projects, the ones with more than 50 contributors, are affected the most.
Among their maintainers, 69% report more incoming contributions, against 59% across all maintainers, and 64% say reviews now take longer. Burnout is their top concern at 63%, narrowly ahead of contribution quality at 60%.
You will also find that policies have not caught up to the AI-assisted coding and vulnerability reporting trend.
Of the 119 respondents who answered the question, 35% said their project has a formal policy permitting AI use. Another 32% have none and no plans for one, 23% plan to write one, and 10% ban AI contributions outright.
You might remember that some projects, like LLVM, allow AI-generated code with conditions. Separately, 26% of projects have no way of verifying AI-assisted contributions at all.
The report calls on contributors to give effort to written policies, disclosure of AI use, and testing and documentation.