#027 - Agentic Firmware Development is Here
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#027 - Agentic Firmware Development is Here
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Key Takeaways:
• In a poll of 50 embedded developers at a conference, everyone used AI, but only two were building skills, agents, or RAG databases, and only one was using MCPs.
• Ad hoc prompting is not agentic development. Agentic workflows combine skills, agents, RAG, and MCPs to get repeatable results.
• Encode your company's coding style guide in a RAG database and give an agent access to it so code reviews and driver generation follow your standards.
• If you use AI for the same task more than two or three times, build a skill for it.
• Build an agent when you keep orchestrating the same skills and sub-agents, and use RAG for knowledge you keep pasting into prompts.
• MCP servers give AI "hands" in the physical world, such as debug sessions, power supplies, and oscilloscope or logic analyzer data, so it can work iteratively in a loop.
• Silicon vendors like NXP are releasing LLM-independent agentic toolkits with around 100 prebuilt skills, MCP connectors, AI-powered documentation, and prompt libraries.
• As AI produces thousands of lines of code, validation and test harnesses around AI tooling become critical.
• AI makes mistakes like human engineers do, and iterating on them is similar to agile. Used well, it can handle the boring infrastructure work so developers can focus on innovation.
• Jacob expects embedded development to change dramatically in the next 6–12 months, so start learning these techniques now rather than falling behind.
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