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I don't know Zig, but I think that is not the problem here. Not exactly. The real question is: why spending all those efforts to grow and align a pool of contributors if contributions are cheap and correct? Code review is not just about checking if what it says it does, and if it does it according to the guidelines. The review is a touch point to discuss where the project is heading and how to get there. That is the most important part in the long run. As a collective human effort, it needs coordination. Some of it is via the review process (especially for those not part if the core team that draft the roadmap). One could document all those micro decisions with the rational, but it might end up be a wakamole game. IMO, projects which allow AI usage need to spend way more effort in coordination (and quality insurance).
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> The real question is: why spending all those efforts to grow and align a pool of contributors if contributions are cheap and correct?

Until the contributions are cheap and correct, you need valuable contributors more than you need the contributions.

You point would be valid when we get to a point of contributions all being both correct and cheap. Right now they are only cheap.

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You still have to review everything manually again anyway. It's a compiler for a language, bugs and bad architecture decisions cost a lot. They moved to codeberg, so there are less garbage PRs now. They try to grow a culture where you expected to deliver good code in the PRs so the review takes less time.

It takes like 5 minutes to spot garbage PRs manually. LLM can flood you with a wall of text where only half of the stuff make sense. Also, they can't really spot bad architecture. It's a compiler in an unpopular language, don't forget that.

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> [you can] stop accepting imperfect PRs in order to maximize ROI from your work, but that’s not what we do in the Zig project

The real bottle neck when you want to grow is connecting with the right people. An LLM is not helping with that if you want to build a community. When you use LLM to skip the need to understand a problem how are you ever going to get a reputation that I can trust?

The post is not about reputation it about seeing how people respond and work with you in a community.

EDIT: I see that you frame it as a help and a tool and sure it might work, but I feel like it is just another obstacle.

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> the burden of manually reviewing contributions... [a]nd the need to automate that with AI as well.

I suggest we also automate the distribution and the use of software with AI as well, and then just all go to the beach and sip on some cocktails or something.

Or in other words: Good luck with that.

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