> Far all we know, there is an amazing developer out there who without LLMs, might have been the single best developer in the country, but even this person might not be able to figure out how to effectively work with LLMs. And vice-versa too.

If working with LLMs effectively means accepting subpar results or be a reverse centaur, then I’d be glad not to be able to work with them.

I’ve never seen a good example where AI is a net positive to any development workflow. No one argues against compilers, build tools, IDEs, task runners, deploy and orchestration tools. Because they are great levers that lets you create more with less effort.

Many developers have narrow job descriptions, and the creative, productive uses of AI aren’t really obvious.

Where it shines is glueing systems together or building one-off automations that would take days, or weeks, to figure out. It’s for things you don’t have time to figure out or didn’t think were possible.

Eh. The useful LLM usage I see is in internal tools (bugs don’t matter because the output or UI is the only thing that counts and they are throw away) or personal projects that otherwise wouldn’t exist.

Both of these can be quite invisible. But the benefit is there.