– The AI forgets everything between steps
– Architectural decisions get lost
– Same regressions, over and over
So I stopped trying to write better prompts, and started building structure.
The result is a lightweight, markdown-based framework that turns your LLM into a reliable, context-aware assistant. It includes:
– A codified rule system (project constraints, architecture, best practices)
– A development workflow from PRD to retrospectives
– Memory that evolves over time
– Human-in-the-loop validation at each step
It’s completely open source and model-agnostic. I use it daily, and it changed how I collaborate with AI.
Happy to share use cases or technical details. Feedback very welcome.