After spending months working with Claude, Gemini, and others inside Cursor, I got tired of constantly fixing regressions and re-explaining my project’s logic. The AI was impressive — but blind without proper context.

I didn’t want more prompt tricks. I needed structure. So I built a framework that gives LLMs:

– codified project rules & constraints – a clear, step-by-step development protocol – a memory system that evolves over time – human-in-the-loop checkpoints to reduce failure

It completely changed how I use AI in real software projects. I’m sharing it open source in case others are trying to get more from their AI dev workflows too.

Happy to answer questions or go into technical details. → Link above, feedback welcome!