> The bottleneck is understanding the problem. No amount of faster typing fixes that. Why not? Why can't faster typing help us understand the problem faster? > When you speed up code output in this environment, you are speeding up the rate at which you build the wrong thing. Why can't we figure out the right thing faster by building the wrong thing faster? Presumably we were gonna build the wrong thing either way in…
Pretty much, the article assumes people didn't build the wrong thing before AI. Except that did happen all the time and it just happened slower, took longer to realize that it was the wrong thing and then building the right thing took longer. It's funny, because you could actually take that story and use it to market AI. > I once watched a team spend six weeks building a feature based on a Slack message from a sales…
In the long term, some of the most expensive wrong-things are the ones where the prototype gets a "looks good to me" from users, and it turns out what they were asking for was not what they needed or what could work, for reasons that aren't visually apparent.
In other words, it's important to have many people look at it from many perspectives, and optimizing for the end-user/tester perspective at the expense of the inner-working/developer perspective might backfire. Especially when the first group knows something is wrong, but the second group doesn't have a clue why it's happening or how to fix it. Worse still if every day feels like learning a new external codebase (re-)written by (LLM) strangers.