[iggori]

AI can write code, but it cannot keep a real system coherent. It forgets decisions, breaks rules, and recreates logic that already exists. Bigger models and longer context windows do not fix this.

I saw this while orchestrating a 350k line production marketplace that my AI agents built end to end. They acted as the full development team inside a deterministic process I designed. I stayed on the problem and architecture side, they lived on the solution side. The system only held together because the structure around the models carried the memory they lacked.

This paper argues that we need an architectural memory layer. A persistent substrate that stores decisions, enforces invariants, and keeps the system stable across inference boundaries. The idea was battle tested by using AI agents to build the entire platform under real constraints.

I am now building the actual system that provides this layer. If you want to follow the work or join early tests, you can find updates on my Substack. The goal is to gather people around the idea, not to market anything.

Full paper is here.