[d_sem]

This article left me wishing it was "How I'm using coding agents to do <x> task better"

I've been exploring AI for two years now. It's certainly upgraded itself from the toy classification to a basic utility. However, I increasingly run into its limitations and find reverting to pre-LLM ways of working more robust, faster, and more mentally sustainable.

Does someone have concrete examples of integrating LLM in a workflow that pushes state-of-the-art development practices & value creation further?

[simonw]

Mitchell's post from this morning: https://mitchellh.com/writing/non-trivial-vibing

[jvanderbot]

My impression is we're still in the tinkering phase. The metrics are coming.

[aydyn]

What metrics? We could never objectively measure productivity except in the macro economic sense, so what makes you think we'll be able to now?

[jvanderbot]

There are best practices of a kind, and well known org structures that work for building software, at least as much as anything can. We'll have some best practice experience with LLM agents soon enough.