AI's tech debt is invisible — even to AI. I solved it at the architecture layer.

TL;DR — AI repeats your patterns badly, ignores existing services, and forgets every cross-session lesson you taught it. This isn't laziness — it's a new kind of tech debt: invisible, systemic, and architectural. Project memory hints don't scale. Bigger context windows don't help. The fix is structural: pin a graph projection of your codebase to every commit, let AI read it before writing, surface "graph stale" prompts when source drifts. Real commit receipts from my own OSS project aming-claw inline. Architects, change my mind in the comments.

What is AI tech debt?

Let me define this precisely, because it's a different beast from the tech debt you already know.

Dimension

Traditional tech debt