The highest quality codebase

Claude is really good at specific analysis, but really terrible at open-ended problems.

"Hey claude, I get this error message: <X>", and it'll often find the root cause quicker than I could.

"Hey claude, anything I could do to improve Y?", and it'll struggle beyond the basics that a linter might suggest.

It suggested enthusiastically a library for <work domain> and it was all "Recommended" about it, but when I pointed out that the library had been considered and rejected because <issue>, it understood and wrote up why that library suffered from that issue and why it was therefore unsuitable.

There's a significant blind-spot in current LLMs related to blue-sky thinking and creative problem solving. It can do structured problems very well, and it can transform unstructured data very well, but it can't deal with unstructured problems very well.

That may well change, so I don't want to embed that thought too deeply into my own priors, because the LLM space seems to evolve rapidly. I wouldn't want to find myself blind to the progress because I write it off from a class of problems.

But right now, the best way to help an LLM is have a deep understanding of the problem domain yourself, and just leverage it to do the grunt-work that you'd find boring.

That's why you treat it like a junior dev. You do the fun stuff of supervising the product, overseeing design and implementation, breaking up the work, and reviewing the outputs. It does the boring stuff of actually writing the code.

I am phenomenally productive this way, I am happier at my job, and its quality of work is extremely high as long as I occasionally have it stop and self-review it's progress against the style principles articulated in its AGENTS.md file. (As it tends to forget a lot of rules like DRY)

Cool cool cool. So if you use LLMs as junior devs, let me ask you how future awesome senior devs like you will come around? From WHAT job experience? From what coding struggle?

How do you get junior devs if your concept of the LLM is that it's "a principal engineer" that "do[es] not ask [you] any questions"?

Also, I'm pretty sure junior devs can use directing a LLM to learn from mistakes faster. Let them play. Soon enough they're going to be better than all of us anyway. The same way widespread access to strong chess computers raised the bar at chess clubs.

I don't think the chess analogy grabs here. In chess, you play _against_ the chess computer. Take the same approach and let the chess computer play FOR the player and see how far he gets.