alt Hacker Newsthe obvious answer is because it's easier , faster, and more efficient to flip a true to false right in front of you than it is to prompt an llm.
if your response is "my prompts don't produce code that needs values flipped, ever." then I would wager you're only touching very simple things with an LLM.
for me I don't care about the token cost and prompt writing so much as the fact that it's just faster to change 0 to 1 and leaves me twiddling my thumbs for an llm output less.
The thing that drove me away from manual edits was that I found myself confusing the LLM all the time. It would read or write, some code, I'd twiddle with things, and then the LLM's future references to the same code would be a mess.
On balance, and via dictation, it feels likely to be faster overall to just enact the changes I want 'inline' of the conversation thread.
Is this stuff any better now? I think current harnesses probably do have things like file change listeners that automatically inform agents before they act on a file they've previously engaged with if it has changed in the meantime.