Hacking with Claude on a $27 Smart Watch

AI coding agents (including Claude and open-weight models) can dramatically accelerate embedded systems development by handling routine coding tasks and providing rapid iteration cycles, as demonstrated through rapid prototyping of custom firmware on low-cost hardware. This capability has significant implications for IT organizations managing IoT deployments and embedded device portfolios, potentially reducing time-to-market and enabling smaller teams to tackle complex firmware challenges that previously required specialized expertise. The accessibility of these tools—combined with open-source hardware and simulators providing fast feedback loops—democratizes firmware development and suggests a shift toward AI-augmented development as a competitive advantage in IoT and edge computing initiatives.