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[return to "Measuring the impact of AI on experienced open-source developer productivity"]
1. MYEUHD+R8[view] [source] 2025-07-10 17:26:42
>>dheera+(OP)
This does not mention the open-source developer time wasted while reviewing vibe coded PRs
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2. narush+ui[view] [source] 2025-07-10 18:16:08
>>MYEUHD+R8
Yeah, I'll note that this study does _not_ capture the entire OS dev workflow -- you're totally right that reviewing PRs is a big portion of the time that many maintainers spend on their projects (and thanks to them for doing this [often hard] work). In the paper [1], we explore this factor in more detail -- see section (C.2.2) - Unrepresentative task distribution.

There's some existing lit about increased contributions to OS repositories after the introduction of AI -- I've also personally heard a fear anecdotes about an increase in the number of low-quality PRs from first time contributors, seemingly as a result of AI making it easier to get started -- ofc, the tradeoff is that making it easier to get started has pros to it too!

[1] https://metr.org/Early_2025_AI_Experienced_OS_Devs_Study.pdf

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