The article seems to boil down to, "I found a way to do the part I like." Obviously, the really unpleasant work on a product is usually down the line. Bugs, t

The article seems to boil down to, "I found a way to do the part I like." Obviously, the really unpleasant work on a product is usually down the line. Bugs, technical debt, keeping documentation relevant, and integrating new features. This site used to talk all the time about Minimum Viable Products. The focus of startups was to get the MVP out the door so that you could see if there's even a market for it before you invest in further development, scaling, etc. I'm surprised that I haven't seen more posts here specifically about using AI to get an MVP out the door, with the awareness that there will be a lot of human labor down the line.