Engineering has shifted from a seasonal process to one where new ideas can move from whiteboard to working proof-of-concept in "days, sometimes hours," driven by the fusion of rapid prototyping with AI-assisted workflows. Open-source software and pre-developed code from companies like Arduino and Raspberry Pi have made prototyping accessible beyond well-funded labs, allowing engineers to start at "step five" using proven libraries. Speed is now a competitive advantage, with modular hardware, cloud-based IDEs, and plug-and-play stacks enabling faster time-to-decision. AI fuels this revolution at the code-and-debug layer, surfacing logic gaps, refactoring functions, and pinpointing misconfigured registers, shrinking tasks that once consumed afternoons to minutes. The real value is scope, as AI broadens the design space a small team can explore, allowing them to sketch multiple architectures, compare trade-offs, and generate candidate implementations for simulation before the first board order. Prompt engineering emerges as a genuine skill, as result quality depends on how precisely constraints, interfaces, and requirements are encoded.