  ...the influx of contributions authored or submitted by AI is sapping the projects' maintainers of their willingness to confront the "already tedious" work of reviewing pull requests....

To me this seems a core issue: PR reviews for most people feel tedious and this has been the case way before AI already.

Don't get me wrong, slop is slop, no matter if AI or entirely human-fabricated. But just like AI-assisted coding can actually be helpful, why can't AI-assisted PR reviews make it less tedious?

▲ pferde 7 hours ago | parent | next [-]

No, reviewing PRs in general is a delightful process. The tedious part is in the initial triage when the PR comes from a previously unknown submitter, and you cannot be sure what is the intention of the submitter, what is their technical level, whether they are talking out of their ass or not.

It's basically the same issue as spam in emails. It was bad before, and automation made it a zillion times worse.

	▲	bluefirebrand 2 hours ago \| parent [-]
		> No, reviewing PRs in general is a delightful process I don't know if this is a very universal feeling. I personally find reviewing code is tedious compared to writing it Not just the process of reading the code and understanding it, but the back and forth can be miserable if the submitter isn't meeting you part way I dunno. Maybe I'm the odd one out for thinking reviewing PRs is more of a chore than a joy

▲ Sharlin 8 hours ago | parent | prev | next [-]

It can, but using a technology just to work around problems caused (or at least exacerbated) by the very same technology is obviously not something we should be doing or encouraging.

▲ jplusequalt 29 minutes ago | parent | prev [-]

>why can't AI-assisted PR reviews make it less tedious?

Godot is a performance critical system in the realm of a million lines of code (?).

Keeping your system both correct AND performant, requires people understand how it works. This kind of technical knowledge is slow to develop, so it's one of the most valuable skills to possess.

I don't see how you continue to understand your system when people are both generating code with AI and using AI to review it's output.