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’ thanks to its latest model’s ...

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

OpenAI’s revenue is rising fast, but so are its costs. Here’s what the company’s economics reveal about the future of AI ...

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

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

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 ...

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.

Alibaba unveils RynnBrain, an open-source embodied AI model designed to power robots and compete with leading US robotics AI ...

Knowing how to talk to AI" is no longer enough. To stay relevant, developers and workers must master the systematic ...

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 ...

Silent schema drift is a common source of failure. When fields change meaning without traceability, explanations become ...