AutoEmbed: Autonomous Firmware Agent

The Objective

Mission-critical systems like deep-space rovers and Autonomous Underwater Vehicles (AUVs) lack immediate engineering access for debugging—water blocks RF communication, leaving engineers completely blind if a physical or software failure occurs. At the NVIDIA Hack-a-dev event at UCSC, building directly on a DGX Spark, we built an 'AI-in-the-loop' tool for systems that can't have a human-in-the-loop. This multi-agent system uses OpenClaw and LLMs to write, compile, and flash C code to an ESP32. It reads serial outputs to independently diagnose and deploy bug fixes in real time.

Architecture & Design

• Local Compute & Agent Logic: Running entirely locally on the DGX Spark, we deployed a 'Writer Agent' to generate code and a 'Supervisor Agent' that wakes up every 30 seconds to parse the ESP32 serial logs. If the Supervisor detects an anomaly, it passes the necessary context to the Writer to fix it.
• Closed-Loop Debugging: The result is a closed-loop system capable of catching edge cases engineers missed, essentially serving as a zero-latency software warranty for vehicles costing $60,000 or more.