[gbnwl]

You don't need to build anything. Just tell the agent to write tickets into .md files in a folder and move them to a closed foler as you go along. I've been using Claude Code with the Max plan nonstop essentially every day since last July and since then I've come to realize that the newer people are the more things they think they need to add to CC to get it work well.

Eventually you'll find a way that works for you that needs none of it, and if any piece of all the extras IS ever helpful, Anthropic adds it themselves within a month or two.

[999900000999]

I'm thinking a customized LLM would write notes in its own hyper compressed language which would allow it to be much much more efficient.

For debugging you could translate it out to English, but if these agents can do stuff without humans in the loop, why do they need to take notes in English?

I can't imagine creating this without hundreds of millions if not billions. I think the future is specialized models

[gbnwl]

They're literally trained on natural language to output natural language. You would need to create the hyper compressed language first, convert all of your training data to that, and then train the models with that. But token efficiency per word already does vary between different languages, with Chinese being like 30%-40% more efficient than English last I heard