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Guy builds AI driven hardware hacker arm from duct tape, old cam and CNC machine

GitHub - GainSec/AutoProber: Hardware hacker’s flying probe automation stack for agent-driven target discovery, microscope mapping, safety-monitored CNC motion, probe review, and controlled pin probing.

github.com

April 16, 2026

5 min read

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45/100

Summary

AutoProber is a hardware automation stack designed for flying probe testing, enabling agent-driven target discovery and controlled pin probing. It includes features for microscope mapping, safety-monitored CNC motion, and probe review, facilitating safe and efficient hardware testing processes.

Key Takeaways

  • AutoProber is a hardware automation stack designed for agent-driven target discovery and controlled pin probing.
  • The system integrates a CNC controller, USB microscope, and oscilloscope for safe and accurate probing operations.
  • Users can control the hardware through a web dashboard, Python scripts, or directly via the agent.
  • Safety protocols require continuous monitoring of oscilloscope Channel 4 during motion, with specific stop conditions for any safety triggers.
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Community Sentiment

Mixed

Positives

  • The project showcases innovative use of AI in hardware testing, potentially revolutionizing how we approach PCB diagnostics.
  • The integration of AI with a CNC mechanism for probing is a creative application that could lead to more efficient testing processes.

Concerns

  • The AI's functionality remains unclear, raising questions about its practical applications and effectiveness in real-world scenarios.
  • There are concerns about the complexity and cost of integrating AI into a simple PCB testing process, which may not justify the benefits.