The argument seems to be that for an expert programmer, who is capable of reading and understanding AI agent code output and merging it into a codebase, AI agents are great. Question: If everyone uses AI to code, how does someone become an expert capable of carefully reading and understanding code and acting as an editor to an AI? The expert skills needed to be an editor -- reading code, understanding its implication…
> The expert skills... currently come from long experience writing code
Do they? Is it the writing that's important? Or is it the thinking that goes along with it? What's stopping someone from going through LLM output, going back and forth on design decisions with the LLM, and ultimately making the final choice of how the tool should mold the codebase after seeing the options
I mean of course this requires some proactive effort on your part.. but it always did
The key point I think though is to not outsource your thinking. You can't blindly trust the output. It's a modern search engine