Please stop flooding our projects with AI slop to furnish your CV
Points and comments are a snapshot, not live.
Open source maintainers face a surge of AI-generated PRs and vulnerability reports aimed at gaming GitHub contribution metrics.
Neil Alexander reports that open source projects are receiving an increasing number of pull requests and security vulnerability reports that appear to be AI-generated, aimed at boosting contributors' GitHub profiles rather than improving the project. He describes a contributor with no prior engagement who submitted three PRs fixing spelling and grammar in comments, likely via Claude, which he closed without merging. He warns that AI-generated contributions undermine trust in open source and urges contributors to contribute because they care, not to game metrics.
What commenters are saying
Commenters largely agree with the author, drawing parallels to Hacktoberfest t-shirt spam in 2020. Some argue that rejecting valid but trivial PRs is reasonable, as accepting them sets a bad precedent and wastes maintainer time. Others note that many genuine contributors now keep fixes in private forks rather than upstreaming, further reducing the signal amid AI noise. A minority defends AI contributions as still potentially helpful, but the dominant sentiment is that AI slop threatens open source trust and may discourage public contribution.