I frequently iterate and explore when writing code. Code gets written multiple times before being merged. Yet, I still haven't found LLMs to be helpful in that way. The author gives "autocomplete", "search", and "chat-driven programming" as 3 paradigms. I get the most out of search (though a lot of this is due to the decreasing value of Google), autocomplete is pretty weak to me especially as I macro or just use contextual complete, and I've failed miserably at chat-driven programming on every attempt. I spend more time debugging the AI than it would to debug myself. Albeit it __feels__ faster because I'm doing more typing + waiting rather than continuous thinking (but the latter has extra benefits).