Comment by rpdillon

> If most of the pull-requests were AI-coded, well, the maintainers are equally capable of prompting Claude Code themselves.

I see this position a bit: the notion that AI-generated code has no value. I think it's easy to generate zero-value code, but I don't agree that all AI-generated code is zero-value. I've been working on my side projects in OpenCode, and I spend quite a bit of time prompting, setting up the right files, descriptions of the product I'm trying to build, and the roadmap for it. I have a tight validation loop that lets me run through a bunch of automated checks after each change, and then I do a bunch of manual testing through edge cases that the generated feature might screw up, and then I iterate. It's a different kind of work, but I can make progress more quickly than I could coding by hand. Validation loops are the main critical component.

My experience doing this over the past months is that using AI to code is a skill, and I learn new techniques and get better at it as I try stuff. But that also suggests that, when done well, it can produce something of value.

All of this is to say: while I take issue with your first sentence, I completely agree with your second sentence. What we've lost is the ability to distinguish easily between something well-thought out and something generated thoughtlessly. Focusing on cheap validation would help here immensely, as well.