Embedded development is often considered too complex for AI assistance, but this practical walkthrough proves otherwise. Using the nRF Connect SDK v3.4.0 as an example, the author demonstrates a complete workflow combining VS Code, Claude Code, DeepSeek V4, and Nordic MCP to build a Single Slot DFU with NUS service. The setup leverages Model Context Protocol (MCP) to give the AI agent direct access to Nordic's development tools and documentation. This integration allows developers to generate code, debug issues, and manage project configurations through natural language interactions. The article covers environment setup, conceptual explanations, and a full implementation example on nRF54L series hardware. This represents a significant step toward making embedded development more accessible and efficient through AI-assisted tooling.
Discover how VS Code, Claude Code, and Nordic MCP streamline nRF Connect SDK development with AI assistance.