As I recall, the biggest problem from the last go-around was the models and implementation were two different sets of artifacts and therefore were guaranteed to

As I recall, the biggest problem from the last go-around was the models and implementation were two different sets of artifacts and therefore were guaranteed to diverge. If we move to a modern incarnation where the AI is generating the implementation from the models and humans are no longer doing that task, then it may work as the models will now be the only existing set of artifacts. But I was definitely in camp #2 - the in-house business applications. I'd love to hear the experiences from those in camp #1. To your point, once IBM got involved it all went south. There was a place I was working for in the early 90s that really turned me off against anything "enterprise" from IBM. I had yet to learn that would apply to pretty much every vendor! :)