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

The GLM-5 represents a shift in AI development from ‘vibe coding’ to ‘agentic engineering’ to generate an enhanced performance.

What global companies look for in engineering teams, and how SA fits the modelIssued by KRSCape Town, 11 Feb 2026 KRS interns 2026. As global software development moves beyond one-location delivery ...

OpenAI has spent the past year systematically reducing its dependence on Nvidia. The company signed a massive multi-year deal ...

Google said that the new Deep Think is now available in the Gemini app for Google AI Ultra subscribers. The company added that for the first time it is making Deep Think available through the Gemini ...

Forward deployed engineering embeds small, outcome-driven teams inside the business to align modern engineering, platform ...

Shubham Vaidkar today walks the rump for coveted designers, including Giorgio Armani. His foray into the modelling industry ...

Latest release strengthens cross disciplinary engagement, accelerates reviews, and removes barriers between engineers and ...

While some consider prompting is a manual hack, context Engineering is a scalable discipline. Learn how to build AI systems that manage their own information flow using MCP and context caching.

A multinational research team led by Professor Tong Zhang from the Department of Civil Engineering, Faculty of Engineering at ...

Knowing how to talk to AI" is no longer enough. To stay relevant, developers and workers must master the systematic techniques of zero-shot, few-shot, and recursive prompting.

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 ...