Adding to this: much of my LLM usage actually goes into writing documentation and communicating in English—a language that isn't mine but that open source essentially demands. For non-native English speakers, LLMs are a genuine equalizer. They let me write docs that don't get ignored for sounding awkward, and participate in discussions without spending twice the effort a native speaker would. But when English-native developers dismiss LLM-assisted writing wholesale, they're not even aware of the privilege baked into that judgment. It's like someone who's never had to do housework scoffing at a washing machine for making people “lazy”—easy to say when the burden was never yours to begin with.
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If the problem is people are assuming the worst when you write "co-authored by Claude" maybe you need to be more specific in the statement and say "Claude used for x,y,z purposes"
I honestly don't know if it will help because people are so emotionally charged with it. It's understandable because AI is honestly causing a lot of problems for people and it's for the most part being pushed by rich idiots.
I personally can't stand AI but I did play around with it for a time tbh.
@hongminhee in my opinion, you should "take ownership" over the code. Verify it works, that it uses best practices, be prepared to debug it and fix it if needed. Doing that, Claude is just a tool, like a compiler making machine code from your c++. It just has a natural language interface.
@hongminhee personally, if i see a project allows generated content i distrust it and will avoid it if at all possible
@hongminhee As a co-maintainer of a large FOSS project I can tell you that today it is impossible for us to see who is just vibe coding and will take us hours to review, to find out that the person is just feeding out comments into an LLM to get some kind of credit for it.
I'm very sympathetic to your plight, but your work being rejected without a look is just because we're overwhelmed.
If you're one of the (few) good ones you're just suffering from the rest just making slop.
I have been adding that too, but my work doesn't receive enough attention to draw any sort of criticism. I don't think it'd bother me, but I'm just a hobbyist doing this for fun.
Something that might help your case (or make it worse, now I think about it) is adding details about what AI does to CREDITS.md[1] (or a file less likely to generate "they're crediting AI!" reactions).
I feel it's very disrespectful to write off anyone's work like that.
[1] https://github.com/devdanzin/lafleur/blob/main/CREDITS.md
Adding to this: much of my LLM usage actually goes into writing documentation and communicating in English—a language that isn't mine but that open source essentially demands. For non-native English speakers, LLMs are a genuine equalizer. They let me write docs that don't get ignored for sounding awkward, and participate in discussions without spending twice the effort a native speaker would. But when English-native developers dismiss LLM-assisted writing wholesale, they're not even aware of the privilege baked into that judgment. It's like someone who's never had to do housework scoffing at a washing machine for making people “lazy”—easy to say when the burden was never yours to begin with.
And a note for fellow non-native English speakers from European language backgrounds: I hear you, and we're on the same side of this, but the gap isn't the same for everyone. Korean and English have a linguistic distance of 89.2 out of 100—essentially no detectable relationship at all. No shared roots, no cognates to lean on, completely different writing system. The distance between, say, French or German and English is a different universe. So when I say LLMs are an equalizer for writing English, I mean it quite literally—without one, even expressing a simple idea in natural-sounding English can take me disproportionately longer than the idea itself deserves.
@hongminhee
As a french korean learning person, I understand what you mean.
Nevertheless I truly believe it's ok to make english mistakes even in your commit logs.
Even though English is easier to me than it can be to you, I'm still struggling to be understood by natives... more than with non natives English speaking people 😄
Finally, the quality of your code doesn't reside in its commit logs.
I've seen lot of good projects with badly written logs.
화이팅 🙂
@FredPraca Haha, thanks! By the way, learning French is one of things in my bucket list!
@hongminhee
프랑스어 배우기가 어렵지만 재미있는 것 같아요 🙂
그리고 한국에 홍민히는 특별한 사람 될거예요 😄
@hongminhee Have you considered the privilege inherent in your choice to use tools built entirely on wide-scale theft, worker exploitation, and destruction of artists and writers rights/livelihoods?
@krans I have, and I do carry guilt about it—I'm not going to pretend otherwise. I try not to use LLMs carelessly, and I don't think the ethical concerns you're raising are wrong.
But I'd ask you to consider what it means to write and maintain open source documentation, commit messages, issue discussions, and community communication in a language that shares essentially nothing with your own. For me, LLMs are less of a shortcut and more of an accessibility tool—one that lets me participate in a space that was never designed with people like me in mind. Giving that up wouldn't make the ethical problems go away; it would just mean one less non-native English speaker able to show up.
@krans have you considered your privilege being a native speaker of The Imperial Language?
Anyway, local LLM trained on free text can provide for use case of OP, so your points are circumstantial
@douginamug @krans @hongminhee Can you point me to this „local LLM trained on free text“ that has comparable capabilities to Claude? Mind that ethically „free“ requires that the original creators agreed that their work is used for training a model that mostly produces partial copies of texts and codes that they have written.
@jlink yes, you called me out - I don't know!
My statement was based on the fact there are many and increasing free and local models + text corpus' like Gutenberg.
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