Co-author Jon Kern says AI coding tools amplify strengths and expose weaknesses Interview Twenty-five years after 17 software developers gathered at a Utah ski resort to draft the the Agile Manifesto, ...

Test automation has become a cornerstone of modern software development. As release cycles accelerate and user expectations ...

Generative AI is not a standalone solution. When combined with composable architecture, it enables new levels of agility, ...

New delivery model applies AI across engineering, testing, DevOps, and analytics to improve speed, transparency, and ...

Allocating capital to autonomous security platforms outperforms traditional consultant-driven validation models.

By integrating NVIDIA’s Physical AI into DELMIA’s Virtual Twin technology, Dassault Systèmes is moving the industry from static automation to autonomous software-defined systems that “learn” the laws ...

The TASKING toolchain has been designed with a foundation that enables OEMs to develop functionally safe and secure systems. Modern AI capabilities are supported within the toolch ...

A machine learning (ML) model might retrain or drift between quarterly operational syncs. This means that, by the time an ...

The development process improves because it is informed by real outcomes. AI learns from what happened, and the team adjusts ...

Jon covers artificial intelligence. He previously led CNET's home energy and utilities category, with a focus on energy-saving advice, thermostats, and heating and cooling. Jon has more than a decade ...

I wanted to build an entire production‑ready business application by directing an AI inside a vibe coding environment without ...