Earlier quoted context omitted.
This presumes that most of this stays encoded as words in our brains: the effort to translate some of these into words might be similar to translating it into code (still words, just very precise). It's like talking legalese vs plain English; or formal logic vs English. Some people have the formal stuff come more naturally, and then spitting code out is not a burden.
No, it really doesn't presume anything about brains or information encoding. Just points out that there is a level of mastery in which all the techniques and all the forms have names or adequate descriptions. Teachers often attempt to achieve this, to facilitate education.
So yes, there is a level of mastery that is beyond being able to do a good job of designing and evolving complex systems which enables people to teach others the same skill set.
However, this is a smaller number of practitioners, and most have learned through practice and looking over how more experienced engineers apply their knowledge.
Where I disagree is that this means everybody is equally capable of teaching with words, or that there are no experts who are bad at teaching (humans or directing AI) — this clearly indicates it is not encoded as words for said experts.