Does AI debugging make teams learn less together?

Lately I’ve noticed a weird tradeoff with AI in day-to-day debugging: it can get you to a fix faster, but sometimes the bug never really gets explained to the rest of the team.

That used to be the part where people picked up context, patterns, and a little institutional memory. Have you seen AI make code ownership feel more private and less shared?