BugBuster Gives AI the Tools to Debug Physical Hardware
A few years into the latest AI boom, we finally have a reasonably clear view of what these tools are good at and what is hype. They are unlikely to take over the world anytime soon, but they can give engineers a bit of a productivity boost when used correctly. In particular, software engineers have found them to be helpful when debugging complex code. But these tools are, naturally, limited to assisting with digital tasks. That limits how much help they can be with hardware troubleshooting.
A new open source project called BugBuster is trying to lift that restriction by providing a way for AI models to measure, control, and debug real hardware. The hardware platform, developed by Lorenzo Karavania, is able to interact with popular AI assistants such as Claude through a Model Context Protocol (MCP) server. This allows the AI to measure voltages, drive outputs, capture waveforms, and...
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