Building Lysis: A Review Engine Where AI Models Collaborate and Evolve

AI reviews have a memory problem. They can catch a bug, flag a weak plan, or point out a vague call to action. But in the next run, the system often starts from zero again. The same issue gets rediscovered instead of becoming part of a stronger review process. I built Lysis to close that loop. Lysis is an open-source review engine for AI-generated work. It reviews not only code, but also plans, marketing copy, and strategy documents. The core idea is simple: a different AI model should review the work repeated findings should become reusable checks That gives you a review loop that does more than evaluate one output. It gets better over time. The Problem: AI Reviews Have Amnesia A lot of current AI review workflows are useful, but stateless. You generate something. You review it. You fix it. Then the next review starts fresh. That means the same class of issue can appear again and again: SQL injection patterns in generated code missing rollback plans in implementation proposals vague c