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by kimjune01 2 days ago
for small to medium sized bugs I managed to get a bit more than half of my PRs to get merged. ~90 PRs since May

https://june.kim/speedrunning-open-source

Verify yourself: { merged: search(query: "is:pr is:merged author:kimjune01 created:>2026-05-09T00:34:00Z", type: ISSUE) { issueCount } closed: search(query: "is:pr is:closed is:unmerged author:kimjune01 created:>2026-05-09T00:34:00Z", type: ISSUE) { issueCount } allTime: search(query: "is:pr is:merged author:kimjune01 -user:kimjune01", type: ISSUE) { issueCount } }
1 comments
20k 1 day ago
Man, truly absolutely gross to see this, this is some incredibly unethical engineering here. This is literally why people hate AI slop. Its not surprising to me that you didn't want to even write the post yourself

>It cost me 53 merges, 63 closures, a billion Opus tokens, and eight account blocks

I can't believe people think this is acceptable. You didn't fix any problems, you just managed to deliberately sneak slop past maintainers without their knowledge. There's no review by you here that any of the PRs actually fixed anything (presumably because software engineering is a learned skill), you just assume that the AI fixed the bugs without checking any of it apparently because.. you feel you're important?

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kimjune01 1 day ago
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.

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