How to stay in the coding flow using LLMs

We all know that moving to LLMs and agents has caused the feeling of losing touch with parts, or maybe even all, of a code base. This isn’t just something that is problematic for managing and handling the translation from business logic to implementation it is a problem because it feels exhausting. I’ve had coding sessions that lasted 12 hours and afterwards felt great. Meanwhile I’ve done LLM prompting for a few hours and felt exhausted or unsure of what I did. Lately I’ve been keeping this in mind and have been looking for a few ways in which I can maintain a flow state and take advantage of LLMs. 1) Use chatbots in the browser Remember back in 2025 when this was the default way of using them? I actually still find this to be my preferred way. Using LLMs with code harnesses in projects injects so much unnecessary information that asking simple questions gets out control. For example, here I’m exploring some data, and I wanted a quick regex, I turned over to my VSCode chat window,…