I Built a Coding Mentor that Actually Learns from Mistakes using Hindsight.

“Why does it keep making the same mistake in my code?” I asked that after watching my AI repeat the same generic feedback again and again—until I realized the real problem wasn’t the model. It was memory. Most coding assistants today are stateless. They analyse your code, give feedback, and then forget everything. This works for quick fixes, but completely fails when the goal is long-term learning. I wanted to build something different—a system that doesn’t just respond, but actually learns from the user over time. That’s how CodeMind AI was built. What CodeMind AI Does? CodeMind AI is an adaptive coding mentor designed to improve with every interaction. Here’s the basic flow: • The user writes code in a VS Code-like interface • The AI analyzes the code using an LLM (Groq) • Mistakes are stored using Hindsight (memory system) • Future feedback is influenced by past mistakes Instead of treating each interaction as new, the system builds a learning history for every user. The Problem wit