alt Hacker NewsWhat was lacking? This is self promotional but I am working on
https://github.com/gitsense/pi-brains
which is designed around the Pi philosophy of less is better by focusing on ondemand context/guidance. I won't bloat the context unless the LLM needs to do something I know it will need better guidance with. I have a demo repo for this at https://github.com/gitsense/gsc-rules-demos
One of the examples is, if I know the agent is reading a specific file, I will inject additional context. So if the agent never needs to do something in a certain file or directory, I don't need to pollute the context with "what it may need to know".
It's difficult to be very specific, because this was not a formal experiment.
I was using LLM collaboratively to help me setting up and document a home server. I was using DeepSeek for that matter. I tried some tasks on Claude Code and some on Pi.
Subjectively, I felt that it was marginally "smarter" on Claude Code. It would figure things out better, that sort of thing.
I am still using Pi btw. My current set up is using MiMo on Pi as a planner, ans DS in Claude Code to validate/execute the plan.
I may try moving it all to Pi, but I wonder if I should learn how to better configure the things there.