Lynt code.learn.improve.repeat

I Didn’t Need a Smarter Tutor. I Needed One That Could Remember Why You Failed Last Time. Most coding tutors are stateless in the exact place they shouldn’t be. They can tell you that your current submission is wrong, but they forget that you made the same boundary mistake on the previous two attempts. That was the problem I ended up solving in this project. The repository I started from is a small FastAPI backend, but the interesting part sits just behind it: a lightweight analysis engine that turns raw code submissions into repeated-pattern detection, mentor-style suggestions, and a tiny hindsight memory layer. The whole thing is much simpler than the average “agent” demo, and that’s why I like it. You can read it in one sitting and understand where it helps, where it cheats, and where it will break. What the system actually does At the API layer, this project is straightforward. backend/app/main.py wires up four routes: POST /run-code executes Python, JavaScript, Java, or C++ in a t