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 ...

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 ...

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

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 ...

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 ...

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