Jumpr

Hardware development is notoriously slow. Builders spend hours deciphering datasheets, tracing jumper wires, and struggling to understand poorly documented open-source robotics code. Jumpr solves this by bringing advanced AI directly into the hardware workflow. Built using IBM watsonx.ai (Mistral Large) and the IBM Bob MCP Engine, Jumpr operates in two powerful modes: Analyze Mode: Upload any robotics repository (.zip or GitHub). Jumpr's AI autonomously dissects the code, maps the hardware pins, traces the control flow, and exposes communication protocols so you can understand legacy code instantly. Generate Mode: Describe a robot in plain English (e.g., "Arduino Uno line follower with 2 DC motors and an IR sensor"). Jumpr generates a complete, production-ready .zip containing the exact folder structure, foolproof pin-wiring mappings, heavily commented C++ starter code, and a comprehensive README. Complete with a built-in project tracker and a stunning UI, Jumpr bridges the gap between software intelligence and hardware execution.