Waiting for alerts is obsolete — predictive engineering lets cloud systems see trouble coming and fix it before users ever ...

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 ...

Mydbops announces its strategic focus on Database Reliability Engineering to help SaaS companies improve database ...

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

This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...

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

Google has launched Gemini 3 Deep Think, a major upgrade to its AI system, designed to tackle the toughest problems in science, research, and engineering. The new mode demonstrates ...

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

The Department of Energy (DOE) has released specifications for 26 artificial intelligence (AI) challenges under its Genesis Mission that could reshape how ...

AI transformation cannot be "AI for everything." Successful enterprises focus on a limited set of high-impact use cases with measurable outcomes.

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 ...