Nordic Semiconductor has added AI-assisted development to its wireless IoT microcontroller, with workflows covering the full life cycle from the first prototype to a deployed fleet.Many developers copy/paste information from LLMs trained on generic data. However, Nordic’s AI solution is specifically trained on the nRF Connect SDK documentation and nRF Cloud data and integrates with a developer’s favorite IDE. It also connects to Claude Code, Cursor, GitHub Copilot, or any other LLM at a much lower token cost thanks to the specialized model.The company says it’s based on an implementation of the Model Context Protocol (MCP), where the Nordic MCP servers give AI assistants access to validated sources from Nordic, including SDK documentation, API references, device configurations, and the customer’s field data from nRF Cloud.Highlights of Nordic’s AI-assisted development
Connected to nRF Connect SDK documentation and nRF Cloud data
Integrates with AI assistants such as Claude Code, Cursor, GitHub Copilot, or any other
Designed to assist, not replace, developers
Covers the full development lifecycle, from prototyping to fleet management
