That’s the aim of predictive cyber resilience (PCR)—an emerging approach to security built on intelligence, automation and ...

This article will examine the practical pitfalls and limitations observed when engineers use modern coding agents for real enterprise work, addressing the more complex issues around integration, ...

A prediction that looks plausible but diverges from reality can create high-risk, even catastrophic situations in driving ...

Learn key insights, risks, and best practices before migrating your app to Ruby on Rails for a smooth, secure, and scalable transition.

Developers are leaning more heavily on AI for code generation, but in 2026, the development pipeline and security need to be ...

Instead of getting feedback, you’re polishing an idea that might not survive first contact with users. The uncomfortable ...

I was one of the first people to jump on the ChatGPT bandwagon. The convenience of having an all-knowing research assistant available at the tap of a button has its appeal, and for a long time, I didn ...

A year is a long time in tech, and the same is true of IT sustainability. So here are some reflections on how the green IT ...

Once the project was ready, I fed the entire codebase into NotebookLM. I uploaded all the .py files as plain text files, ...

Utilize AI to analyze application runtime data (e.g., rendering time, communication latency), obtain optimization suggestions (such as reducing component re-rendering, reusing hardware connections), ...

Codex, a new version of its agentic AI model for software development that focuses specifically on professional software ...