AI is transforming software development. However, in the complex, high-stakes world of IoT and embedded systems, it is only part of the story. Specialized tools, optimized workflows, and a deep understanding of real-world constraints such as size, weight, power, safety, and security remain essential. Engineering in this space demands precision, traceability, and domain-specific expertise.
This research note examines why AI-assisted coding is not a silver bullet for production-grade systems and highlights emerging vendor solutions tailored for specific chipsets, footprints, and real-time requirements. Learn where AI fits, where it falls short, and how to choose the right combination of tools and methods for reliable IoT innovation.
