But you're now just passing on the mental effort to decipher that analysis, without spending any effort of your own, onto someone else. Do you see the issue?
Whenever you can run a model like Nano Banana or other vision-LLM with the same compute and time performance/restrictions as an OpenCV or YOLO call, you can make that comparison. Until then, I would not call YOLO and OpenCV outdated, it's simply wrong. There's a time and place for big V-LLMs just as there is a time and place for more "traditional" computer vision methods.
Yeah. It's very easy to give a definitive "yes", if you've ever worked with coding agents in any capacity. I use them in much the same way as you, there are a bunch of things that would be nice for the agent to know, specifically for me, the project, or how I would like it to run as an example: git or coding review loops ( i use roborev ). Asking the agent to do these things every time, is very time consuming.