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[return to "Measuring the impact of AI on experienced open-source developer productivity"]
1. 30minA+w8[view] [source] 2025-07-10 17:24:44
>>dheera+(OP)
This study focused on experienced OSS maintainers. Here is my personal experience, but a very different persona (or opposite to the one in the study). I always wanted to contribute to OSS but never had time to. Finally was able to do that, thanks to AI. Last month, I was able to contribute to 4 different repositories which I would never have dreamed of doing it. I was using an async coding agent I built[1], to generate PRs given a GitHub issue. Some PRs took a lot of back and forth. And some PRs were accepted as is. Without AI, there is no way I would have contributed to those repositories.

One thing that did work in my favor is that, I was clearly creating a failing repro test case, and adding before and after along with PR. That helped getting the PR landed.

There are also a few PRs that never got accepted because the repro is not as strong or clear.

[1] https://workback.ai

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2. ares62+KF1[view] [source] 2025-07-11 07:13:00
>>30minA+w8
Did you make the contributions though? Or did the LLM?

This is not directed at you, but I am worried that contributors that use AI "exclusively" to contribute to OSS projects are extracting the value (street cred, being seen as part of the project community) without actually contributing anything (by being one more person that knows the codebase and can help steward it).

It's the same thing we've seen out of enshittification of everything. Value extraction without giving back.

Maybe I'm too much of a cynic. Maybe majority of OSS projects don't care. But I know I will be saddened if one of the OSS projects I care about get taken over by such "value extractors".

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