Ideas discussed in his post might seem too far from the reality and controversial, but first don't forget they have been doing Tesla's self-driving ML models for a few years now - so, he definitely has some material to generalize. It's one of the most advanced ML models in production, and without reflecting on the process it would be hard to develop it, would be hard to maintain it, etc.

Also, from my own experience building DVC - when you do any ML project you do have code indeed, but not doubt that data can be considered as important element as code, we need to take it seriously - track, review, etc, etc.