Fortunately for me, he's not senior enough to make my life miserable. But if he ran our engineering org I have no doubt he'd inflict many of the same problems the source article describes on us. Reassigning software engineers to data labeling has all the hallmarks of an idea that came through this process; any human manager would immediately identify the obvious, showstopping problems with it, but to an AI whose experience of the world is exclusively mediated through written text it's not so obvious.
To me this reads like a personal resistance to feedback / resistance to behavior change or a very jr eng more than agent related. Code isn't sacred — LLMs often easily generate absurdly overcomplicated garbage spaghetti code, but this appears to be getting better, and they are "steerable" towards better outputs with a few rounds of revisions, and some light process around a light spec, TDD, etc.