I suppose this is banal/obvious to many, but I found this very interesting given the practical context.

>I write code with AI tools. I expect my team to use AI tools too. If you know the codebase and know what you're doing, writing great code has never been easier than with these tools.

This statement describes transitional state. Contributora became qualified in this way before AI. New contributors using Ai from day one will not be qualified in the same way.

>The question is more fundamental. In a world of AI coding assistants, is code from external contributors actually valuable at all?

...

>When code was hard to write and low-effort work was easy to identify, it was worth the cost to review the good stuff. If code is easy to write and bad work is virtually indistinguishable from good, then the value of external contribution is probably less than zero.

The negative net value of external contributiona is to make the decision. End external contributions.

For the purpose of thinking up a new model.. unpacking that net is the interesting part. I don't mean sorting between high and low effort contributions. I mean making productive use of low effort one-shots.

AI tools have moved the old bottlenecks and we are trying to find where the new ones are going to settle down.