Great article. I feel most people, even great software engineers, seem to lack the intuitive understanding that building software is essentially modeling a system, and that every model faces the same limit: the number of interactions between its part grows combinatorially as the system grows. If some of those parts or interactions produce no value (bloat), then complexity is added for no gain. This is true regardless of who created the model or wrote the code.

Instead they seem to think that AI can someone work around what is essentially laws of nature.

And migrating from one system-model to another is an additional system-model - the building of which is an even rarer skillset.