My AI Mentor Remembered Every Bug I Kept Repeating — And Wouldn’t Let Me Ship With It Again.

“ I think you’re doing that loop thing again. ” That wasn’t me. That was my app. At some point, CodeMentor stopped reacting to my code and started recognizing how I write it. That shift—from response to pattern recognition—is what this project is really about. What This System Actually Does CodeMentor is a React app that combines: Groq (LLaMA 3.3 70B) for fast feedback Hindsight for long-term memory Instead of treating every submission as new, it builds a memory of your behavior over time. Each interaction follows: Recall → Analyze → Retain 📸 Screenshot: Memory as Context, Not Storage Most people think memory means saving more data. What matters is using it at the right moment. Before every review, the system recalls past patterns: const r = await hs.recall(bankId, query); const mems = r.results || []; That memory gets injected into the prompt. Now the model doesn’t just see your code—it sees your history. 📸 Screenshot: The Shift: From Feedback to Pattern Detection After a few sessions