HACKFARMER

I Built a Multi-Agent AI System in Preparatory School — Here's Every Technical Decision, Mistake, and Lesson A deep dive into LangGraph orchestration, LLM fallback chains, async concurrency, encrypted secrets, WebSocket streaming, and production deployment — written by a second-year prep student in Tunisia The Premise Before I explain the code, let me explain the context. I'm in my second year of classes préparatoires in Tunisia — the two-year preparatory program before engineering school. My curriculum is calculus, physics, and thermodynamics. It has nothing to do with software. I built HackFarmer on weekends and late nights, not because a professor asked me to, but because I had a specific problem I wanted to solve: I wanted to see how far I could push a system where AI agents collaborate autonomously to produce something real — not a chatbot, not a summarizer, but a full-stack GitHub repository generated from nothing but a text description. What came out of that is a system with 8 s