Chiplab, created by Veecle, is a platform designed to let AI coding agents build, run, and test embedded software on a virtual copy of a real microchip—completely removing the requirement for physical hardware boards.
By connecting over MCP (Model Context Protocol), Chiplab seamlessly integrates into your existing AI development workflows, supporting agents and IDEs like Cursor, Claude Code, and VS Code. Once connected, Chiplab automatically compiles, executes, and debugs your firmware, providing precise feedback on what broke when code fails.
Currently in beta, Chiplab natively supports STM32 and Nordic chips, with additional chip architectures scheduled for future releases.
Chiplab is a developer tool that allows AI coding agents to build, run, compile, and debug embedded software on virtual chip replicas without requiring physical hardware.
Chiplab connects over MCP to various AI coding agents and environments, including Cursor, Claude Code, and VS Code.
Chiplab currently supports STM32 and Nordic chips, with support for additional chip models coming in future updates.
Yes, Chiplab is currently in beta.
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Co-founder of Veecle
Building AI for embedded.
