AI agents can handle physics-based modeling complexity while engineers focus on design judgment and tradeoffs.

With the advent of AI, the industry has moved from writing code from scratch to AI-assisted or “vibe” coding, and is now transitioning toward fully agentic engineering ...

As heterogenous integration increases design complexity and forces engineers out of long-standing silos, model-based systems engineering (MBSE) is becoming essential for improving quality and reducing ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

The frontier AI labs continue releasing models that are better than their predecessors, but there’s an interesting change in how they operate ...

Heavy machinery is entering a new phase where hydraulics, electronics and embedded software are engineered as one integrated system. Using model-based systems engineering (MBSE) as a framework to ...

The benefits of using simulation early and often in the product development process are clear. You can verify requirements and begin studying and exploring design alternatives before prototyping and ...

The so-called V-model provides many benefits for organizing the system engineering perspective by depicting the orderly progression, from requirements definition to system-level specification, ...