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Yes, I have the same feeling: "When receiving patches from first-time contributors it is sometimes hard to determine if the person has used an LLM to write the patch, looking at the code alone.". If the LLM-written code is so good you cannot distinguish it from human code, then where is the issue?
> However, there are also other reasons to reject AI-assisted or AI-implemented contributions.
Yes, but then the focus should by put on the "other reasons" (code quality, unneeded code, ...), not on who wrote the code.
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