Accuracy is the make-or-break factor. If a detector flags too much code by mistake, it wastes time and frustrates developers. If it misses AI-generated sections, it cannot deliver the transparency ...

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, ...

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

Scientists are literally turning back the clocks in our cells, with the first drugs about to go to human trials ...

When AI-assisted coding is 20% slower and almost half of it introduces Top 10-level threats, it’s time to make sure we're not ...

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

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

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

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), ...

Galen Hunt, Distinguished Engineer at Microsoft, recently described his ambitious target of replacing all C and C++ code at his ...