Comment by kimjune01

the issues were already validated by the maintainers, and the maintainers merged it into their repo voluntarily. When maintainers accepted the PRs, they were the ones who found it acceptable. I found that well-tested PRs are more likely to get merged, so I deliberately had it pick bugs that were easy to verify. I didn't need to get involved after I specified that criteria.

Humans don't get a 100% merge rate either, so it's a matter of degree to which stranger is more effective at contributing to open source. It was an experiment where I accumulated lessons about how OSS works, and the lessons are open and available for your viewing here: https://github.com/kimjune01/sweep/blob/main/HYPOTHESIS_GRAP...

AI is good at fixing a narrow subset of issues/tasks in GitHub, so humans still need to be involved in most tasks.