AI hardware-in-the-loop (AI HIL)
Give your AI agent a real bench. The BenchPod MCP server turns power control, firmware flashing, UART capture, sensor emulation and analog/logic capture into tools an LLM can call, so Claude flashes, power-cycles and probes actual silicon instead of guessing about it.
What is AI hardware-in-the-loop?
Hardware-in-the-loop testing runs your firmware on the real board, with the bench standing in for the world around it. AI HIL is that loop driven by an agent instead of a hand-written script. The instruments are exposed over the Model Context Protocol (MCP), so an AI assistant can power the target, flash a build, watch the boot log, pretend to be a sensor and read back what the firmware did, each as a tool call against hardware that is genuinely there.
The point is not the novelty of an AI touching hardware. It is the loop: flash, observe, change one variable, re-test. That loop is where bring-up time actually goes, and it is the part that has never been automatable, because every step needed a human to decide what to try next.
How it works
From a sentence to a measurement on real hardware
01
Wire your board to the BenchPod
Connect the device under test to the pod: power through the protected eFuse rails, SWD for flashing, UART for the console, and whichever I2C, analog or logic lines you want to drive and watch.
02
Point your agent at the bench
The BenchPod ships an MCP server. One line of config in Claude Desktop, Claude Code, Cursor or your own agent, and the whole bench becomes callable tools.
03
Describe the test, not the commands
“Flash this build, power-cycle it, and tell me whether it reached APP_OK.” The agent picks the tools, wires the sequence and reads the results.
04
Let it close the loop
Errors come back as structured results rather than exceptions, so the agent can change one variable and re-run, the way an engineer at the bench would.
05
Freeze what worked into CI
Every MCP tool has a matching Python test helper, so the sequence you found by asking turns into an automated test that runs on every push.
The MCP toolset
What the agent can actually do
Every tool below is a real bench operation on the BenchPod, not a wrapper around a simulator.
Power and reset
Gate the target through protected eFuses, cut it mid-write, watch the current draw.
Flash and boot
Program firmware over SWD from the pod itself, then read the boot log back.
Peripheral simulation
Be the sensor the firmware expects, and answer its I2C reads the way you choose.
Analog and logic
Generate signals, capture them back, and decode the bus traffic around them.
What it looks like in practice
“Connect to the bench, flash build/app.elf to the STM32F4 over SWD, then power-cycle the target and show me the boot log.”
The agent calls connect, flash and power_cycle_and_capture, reads the UART back and tells you whether it saw APP_OK.
“It hung before the sensor init. Pretend to be a BMP280 on the I2C lines and try again.”
It enables the pull-ups, brings up the emulated sensor with enable_i2c_sensor, re-runs the power-cycle, and checks i2c_read_register to confirm the firmware really probed the chip.
Where it pays off
Four places AI HIL earns its keep
Bring-up on an unfamiliar board
The agent reads the wiring resource, powers the target, flashes it and narrates where the boot stops, before you have written a single script.
Reproducing a flaky failure
Ask for fifty power cycles with a brown-out on the third rail, and get back the ones that failed with their captured UART.
Fault injection you would not script by hand
Sag the supply, stall the sensor, corrupt the reply: each is one tool call, so exploring the fault space costs a sentence instead of an afternoon.
Triage from a failing pipeline
A HIL job goes red at 2am. The agent reconnects to the same pod, re-runs the step and comes back with the capture attached.
The agent explores. CI decides.
A model in the loop is the wrong thing to gate a release on. So the handoff is explicit: every MCP tool has a matching Python test helper, and the sequence the agent found becomes an ordinary hardware test that runs the same way every time in GitHub Actions on every push.
Frequently asked questions
What is AI hardware-in-the-loop (AI HIL)?
AI hardware-in-the-loop is hardware-in-the-loop testing driven by an AI agent instead of a hand-written script. The test bench exposes its instruments (power control, firmware flashing, UART capture, I2C sensor emulation, analog generation and logic capture) as tools an LLM can call, so the agent can flash a board, observe the result, change one variable and re-test on real silicon.
How does the BenchPod MCP server work?
The BenchPod MCP server (embeddedci-mcp) implements the Model Context Protocol over the BenchPod SDK. Each bench operation maps to one MCP tool, and two read-only resources describe the wiring and the canonical HIL workflow, so the agent knows how the bench is connected before it starts. Any MCP-capable client can connect to it: Claude Desktop, Claude Code, Cursor, or your own agent.
Is the AI running the tests in production CI?
No. The agent is for exploration and triage. Once a sequence is worth keeping, the same operations are available as ready-made building blocks for automated Python tests, which run the same way every time in GitHub Actions, with no model in the loop.
Does the agent need direct access to my hardware?
It talks to the pod, not to your network. A pod can be reached over the LAN, over USB serial, or through the EmbeddedCI cloud with a per-device lease, so a remote agent drives a bench sitting on your own desk.
Do I need a BenchPod to do AI HIL?
The BenchPod is what we build on, but the pattern is the deliverable: an instrumented fixture around your board with an agent-callable interface. We also fit it to rigs that already exist.
Put an agent on your bench
Tell us what board you are bringing up and how you test it today. We will show you what the loop looks like on your hardware.
- A fixture and wiring map for your target.
- The MCP server connected to your agent of choice.
- The sequences that matter, frozen into a pytest HIL suite in CI.