To be fair, most senior developers don't have any incentive to put this amount of analysis into a working codebase. When the system is working, nobody really wants to spend time they could be working on something interesting trying to find bugs in old code. Plus there's the social consideration that your colleagues might not like you a lot if you spend all your time picking their (working) code apart while not doing any of your tasks. Usually this kind of analysis would come from someone specifically brought in to find issues, like an auditor or a pen-tester.

Some humans can do it consistently, other humans can't.

Versus how no publicly-available AI can do it consistently (yet). Although it seems like a matter of time at this point, and then work as we know it changes dramatically.

Humans are fully capable of protracted, triple-checked scrutiny if the incentives align just right. Given the same conditions, you cannot ever compel an AI to stop being wrong or consistently communicate what it doesn't understand.