Software ages like fish, vibecoding ages like cotton candy in the rain
Vibecoding works at v0 because the system is small and constraints are few. But as versions stack, "known knowns" multiply across the codebase, and every one-shot change risks breaking something you forgot existed.
That's the wall: the moment vibes stop compounding and start quietly deleting reliability.
An AI-powered system that automatically designs, optimizes, and deploys custom search engines tailored to your specific data and constraints using a team of specialized AI agents
Software is layered design decisions: data shapes, boundaries, contracts, tradeoffs.
LLMs are great at revising those decisions—but only if the relevant system description fits in context at once.
We architect your software so its live description never exceeds the model's usable context: agents operate on compact, layered views that always fit, then safely promote changes back.
By keeping the whole "game board" inside working memory, we can push software onto a third curve: continuous self-improvement instead of vibecoded decay.
The Stack
Eight Layers of
Autonomous Improvement
A living architecture where each layer observes, learns, and evolves—compounding improvements across your entire stack.