Context: LLMs learn all the amazing things they do by predicting the next token in internet data. A shocking amount can be inferred from the internet by leveraging this straightforward (I won't say "simple"!) task. There was not explicit instruction to do all that they do - it was implied in the data.
The LLM has seen the whole internet, more than a person could understand in many lifetimes. There is a lot of wisdom in there that LLMs evidently can distill out.
Now about high level engineering decisions: the parent comment said that high level experience is not spelled out in detail in the training data, e.g., on stack overflow. But that is not required. All that high level wisdom can probably also be inferred from the internet.
There are 2 questions really: is the implication somewhere in the data, and do you have a method to get it out.
It's not a bad bet that with these early LLMs we haven't seen the limits of what can be inferred.
Regarding enough wisdom in the data, if there's not enough, say, coding wisdom on the internet now, then we can add more data. E.g., have the LLMs act as a coding copilot for half the engineers in the world for a few years. There will be some high level lessons implied in that data for sure. After you have collected that data once, it doesn't die or get old and lose its touch like a person, the wisdom is permanently in there. You can extract it again with your latest methods.
In the end I guess we have to wait and see, but I am long NVDA!