Wow that go me thinking. What if specialized AI code recommenders could sniff out solutions. Get away from libraries with objects or structs with methods that mutate. As more people realize composing functions (Forth has concept of composing words, correct?) with fewer side effects is a good thing, I wonder if it's possible. There is some amount of my workflow where I'm looking at StackOverflow, my git project history or others, examples even on blogs (at least when I was new), or my little code snippet journal for stuff already solved. Automate getting idiomatic solutions from a StackOverflow or Github commits of sorts, or something. I know we are no were near, but FB's Aroma and others have the first gen AI recommenders in the pipeline that at a high level do this. That way we are just dealing with code snippets. I've only read Forth code and introductions to it, but it seem all about composition. However this is hard to conceive with today's coding forums and repos because most are gluing mutating library APIs (turtles all the way down) together. So a code recommender paradigm of this sort is chicken vs egg.