> LLM coding will split up engineers based on those who primarily liked coding and those who primarily liked building.
I’ve always said I’m a builder even though I’ve also enjoyed programming (but for an outcome, never for the sake of the code)
This perfectly sums up what I’ve been observing between people like me (builders) who are ecstatic about this new world and programmers who talk about the craft of programming, sometimes butting heads.
One viewpoint isn’t necessarily more valid, just a difference of wiring.
But how can you be a responsible builder if you don't have trust in the LLMs doing the "right thing"? Suppose you're the head of a software team where you've picked up the best candidates for a given project, in that scenario I can see how one is able to trust the team members to orchestrate the implementation of your ideas and intentions, with you not being intimately familiar with the details.
Can we place the same trust in LLM agents? I'm not sure. Even if one could somehow prove that LLM are very reliable, the fact an AI agents aren't accountable beings renders the whole situation vastly different than the human equivalent.
And accountability can still exist? Is the engineer that created or reviewed a Pull Request using Claude Code less accountable then one that used PICO?
The point is that in the human scenario, you can hold the human agents accountable. You cannot do that with AI. Of course, you as the orchestrator of agents will be accountable to someone, but you won't have the benefit of holding your "subordinates" accountable, which is what you do in a human team. IMO, this renders the whole situation vastly different (whether good or bad I'm not sure).