Launching today
Chiplab
Test firmware on a virtual chip with no hardware needed
35 followers
Test firmware on a virtual chip with no hardware needed
35 followers
Chiplab lets AI coding agents build, run, and test embedded software on a virtual copy of the real chip. No physical board required. Just connect it over MCP to any AI coding agent (Cursor, Claude Code, VS Code, and more), and skip hardware entirely. Chiplab compiles, runs, and debugs your firmware, and tells you exactly what broke. Works today on STM32 and Nordic chips, with more on the way. Currently in beta and we'd love your feedback.
Chiplab
Hey Product Hunt! I am Sohyeon here, Co-founder and CPO at Veecle 👋
Chiplab is an MCP server that lets AI coding agents build, run, and test embedded firmware on a virtual copy of the real chip. No physical board required.
Why we built it
Years ago, we spent hours in a car flipping through a several-hundred-page datasheet just to find one signal. Then we ordered a board and lost weeks waiting for it to ship before we could even start. And when it finally arrived, we still had to wait our turn for the single setup the team shared.
Every new AI coding tool seem built for apps or websites. We wanted embedded developers to move just as fast, to spend their time on real engineering, not on datasheets and waiting.
What it does
Helps your agent develop correct embedded code from day one by using datasheets, manuals, and results from all runs.
Runs your code on a virtual instance of the real chip.
Reads crashes for you, and gets better with every run.
Runs across all boards at once, instead of one at a time.
No custom hardware or tooling required. Connect your agent, and it’s ready.
Who it's for
Embedded engineers and teams who want their AI agent to carry the work all the way through, not just write the code.
What's supported today
Chips: STM32 (F1, F4, F7, H7, L0, WBA) and Nordic (nRF52).
OS/Framework: Bare-metal, Embassy-Rust, Zephyr, FreeRTOS, Eclipse ThreadX.
Languages: C/C++, Rust.
We're in beta and improving fast. Peripheral support and CI/CD integration are coming next week, so you can wire this into your GitHub and write real test scenarios. It's free to use while we're in beta. Excited to keep shipping :)
Try it at: chiplab.veecle.ai
Veecle website: veecle.ai
Or leave a star on our public repo: github.com/veecle/chiplab
Would love to hear what you'd want us to support next. We'll be in the comments all day.
great idea ! wish i had something like this when i was building robots back in college. will definitely try this out when you guys add in support for espressif chips .