I do research in AI safety for healthcare and life sciences. And while I was using Claude Code to reason on a couple of things, I realised a pattern. Claude or any other AI agent is very linear.
Theres a strong reason why - the thinking pattern of almost all LLMs from 2024 follow Chain-of-thoughts where AI is programmed to go deep unilaterally.
But researchers or creativity-intensive works do not need to go unilateral but do divergent.
That's the whole base of my paper - ADHD - Parallel Divergent Ideation for Coding Agents.
My thesis is that if we disregard the default chain-of-thoughts and consider a tree-of-thoughts, then we can empanel divergent thinking in our models. thus, giving us the much needed scope of connecting dots from different thinking points.
Its a lot inspired by how the mind of someone with ADHD works- think in a lot of directions and go deep in a few, and there, we add our our critic layer, that judged and scores all this thinking.
Limitation : It shoots cost by ~5x and time to output by ~10x but enables instant novel thinking. Good for brainstorming and planning, not for coding.
Give me your feedback, I am happy to learn how you find it and what's the scope to improve.
Also, its completely opensource so you can just clone it or contribute to it.
Update : the oss repo hit 200+ stars.