Beyond Rule-Based Racing: The Evolution of an Autonomous AI Agent

This project demonstrates a pragmatic AI development pipeline for autonomous systems, progressing from classical PID controllers to machine learning optimization. By documenting the iterative process—including prompts, code, and mathematical reasoning—it offers valuable insights for robotics and control systems development, while showcasing how local LLMs can accelerate AI agent engineering.