[w10-1]

Policy is a decent filter for consensual candidates, but mostly ineffective against incentives and automation.

The issue is exported costs: whether submitters make reviewers work too hard for the contribution value.

The policy/practice should focus first on making reviewer/developer's work easier and better, and second on refining submitter skills to become developers. The same is true for Senior/Junior relations internally.

So the AI company that solves how to pare AI slop down to clean PR's would meet a real and growing need, and probably also help with senior/junior relations as well.

Then you could meet automation with automation, and the incentives are aligned around improving quality of code and of work experience. People would feel they're using AI instead of competing with it.