As well as pair programming with the AI, you can explicitly put those principles in AGENTS.md and the stochastic code generator will pay attention and be less verbose.
I've been working on an Ansible code base in the past few weeks. I manually put that together a few years ago and unleashed codex on it to modernize it and adapt it to a new deployment. It's been great. I have a lot of skills in that repository that explain how to do stuff. I'm also letting codex run the provisioning and do diagnostics. You can't do that unless you have good guard rails. It's actually a bit annoying because it will refuse to take short cuts (where I would maybe consider) and sticks to the process.
I actually don't write the skills directly. I generate them. Usually at the end of a session where I stumbled on something that works. I just tell it to update the repo local skills with what we just did. Works great and makes stuff repeatable.
I'm at this point comfortable generating code in languages I don't really use myself. I currently have two Go projects that I'm working on, for example. I'm not going to review a lot of that code ever. But I am going to make sure it has tests that prove it implements detailed specifications. I work at the specification level for this. I think a lot of the industry is going to be transitioning that direction.