>Some of the instructions don't give any guidance how to do it, some specify which libraries to use.

In supporting a piece of cloud software with a lot of microservices I think this is a more generalized problem for humans. The app I work with demanded some logging requirements like the library to use. But that was it, different parts by different teams ended up with all kinds of different behaviors.

As for the AI side, this is something where I see our limited context sizes causing issues when developing architecture across multiple products.