Comment by 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?