Well, well, well...

The Linux Foundation published a new study today around the impact of generative AI on open-source software development. One key takeaway is that ~25% of new open-source software pull requests amount to AI slop.

The new Linux Foundation research study found that GenAI has the potential of cutting open-source coding time in half for increased productivity. They also found 59% of project maintainers found growing GenAI-based contributions. The 50% productivity boost was found to be across all types of open-source software development tasks. 71% of OSS maintainers agreed that GenAI reduces barriers to entry.

Very concerning though, their research found that 25% of incoming pull requests are estimated to be low-quality AI slop across open-source projects. Presumably that number will, sadly, continue to rise as more newcomers and users embrace AI/LLMs for working on patches on their behalf.

Those curious can find the Linux Foundation Research report in full via LinuxFoundation.org.

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[–] 14 points 3 weeks ago

Thats less than I would think.

After all, Sturgeon's Law

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  • [–] 9 points 3 weeks ago

    It's eternal september

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  • [–] 5 points 3 weeks ago (1 child)

    I bet Linus is happy since AI is a "great" tool and not using it is stupid amiright?

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  • [–] 2 points 2 weeks ago (1 child)

    Can I say: Karma?

    It's been a while now that the Linux "Foundation" has been big tech lapdog and corrupted, Torvald first. For me the eviction of Russian maintainer for their nationality was the last straw (of course it was initially done in full opacity) and now the AI chill is cherry on top. Under a fake cover of "community-based" FOSS this is consortium and the enshitification is just the logical consequence.

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  • [–] -5 points 3 weeks ago* (8 children)

    Productivity gains are substantial but vary by task complexity: GenAI accelerates OSS development in more ways than simply writing code faster. Respondents estimate average time reductions across all six OSS development activities measured, including proposal discussions (19%) and code authoring (52%). For high-complexity tasks, however, 21% of respondents report taking more time when using GenAI.

    You lose some you also win some though.

    Everything still goes through human review though regardless.

    It just shifts the time spent from writing code and other things to rewiting code and reviews most likely

    If they've never received a patch potentially from someone too, it's going to be more likely to be bad code too that can be reviewed fairly quickly

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  • [–] 18 points 3 weeks ago (7 children)

    This is just a survey though, people are notoriously bad at estimating their own speed.

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  • [–] 11 points 3 weeks ago (4 children)

    Several MIT studies have shown that while people feel more productive they are basically actually equal because of overhead. They have to spend more time managing the LLMs and designing prompts and reviewing output and it basically is a wash.

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  • [–] 1 point 3 weeks ago (1 child)

    Well this study finds:

    For both contributors and maintainers, GenAI boosts productivity by up to 50% across all types of OSS development tasks.

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  • [–] 2 points 3 weeks ago* (last edited 3 weeks ago)

    Except this study is not peer reviewed from what I've seen and gathered data in very unscientific ways. There's no validation of answers and allowed users to just guess how much they feel they're being more productive. Like go read the questions, it's a person guessing at time saved. This study holds zero importance in the discussion in my mind because, as said, other MIT studies have shown people are actually incredibly bad at knowing how much time spent changed pre vs post LLM usage.

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  • [–] 1 point 3 weeks ago (1 child)

    One interesting thing I have noticed is that there seems to be a few people pointing to "studies". Are you a developer?

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  • [–] 5 points 3 weeks ago* (last edited 3 weeks ago)

    Yes, I'm a developer. And people point to studies because the scientific method and proper data gathering procedures have shown in the long run to be much more reliable and accurate than vague feelings.

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