Foundation Model Engineering is a technical textbook designed for AI engineers and research-oriented readers seeking to understand how modern foundation models work, their architectural evolution, and real-world engineering trade-offs. It connects core concepts like attention, transformers, inference optimization, and RAG into a unified narrative grounded in systems constraints and product requirements, moving beyond surface-level API usage to build deeper engineering judgment.
OpenAI's announcement of Astra, an LLM model that automates PCB layout in KiCad, sparked concern among embedded engineers about job displacement. The article argues that while LLMs will likely automate routine design tasks like schematic and board layout work, the future of engineering lies in systems-level thinking, requirements development, and verification—skills where human experience remains irreplaceable.