AI RESEARCH
Skilled AI Agents for Embedded and IoT Systems Development
arXiv CS.AI
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ArXi:2603.19583v1 Announce Type: cross Large language models (LLMs) and agentic systems have shown promise for automated software development, but applying them to hardware-in-the-loop (HIL) embedded and Internet-of-Things (IoT) systems remains challenging due to the tight coupling between software logic and physical hardware behavior. Code that compiles successfully may still fail when deployed on real devices because of timing constraints, peripheral initialization requirements, or hardware-specific behaviors. To address this challenge, we.