Jason Beres COO of Infragistics spearheads the customer-driven, innovative features and functionality throughout all Infragistics' software, including testing, development, and user experience. Jason ...

NEW YORK, NY, UNITED STATES, February 17, 2026 /EINPresswire.com/ -- Real-world Spring Boot microservices architecture, ...

As their stocks tank, software makers are rebranding themselves as A.I. innovators. Sparkle emojis are everywhere, but some efforts have been more successful than others.

At Spotify, engineers are using an internal system called “Honk” to speed up coding and product velocity, the company told analysts on the call. This system allows for things like remote, real-time ...

From technical compromise to AI-driven attacks, cyber criminals increasingly see software developers as prime targets, creating systemic risks CISOs must address.

It took Rebecca Yu seven days to vibe code her dining app. She was tired of the decision fatigue that comes from people in a group chat not being able to decide where to eat. Armed with determination, ...

Caleb John (left), an investor with Pioneer Square Labs, and Lucas Dickey, a longtime entrepreneur, helped host the Claude Code Meetup in Seattle on Thursday. (GeekWire Photos / Taylor Soper) Claude ...

Graduates at some of the top universities are finding it nearly impossible to find new jobs in software engineering. New reporting by the Los Angeles Times details the trouble recent graduates are ...

According to Jeff Dean on Twitter, sharing specific small snippets of code can effectively demonstrate AI techniques, providing developers with practical and actionable examples to accelerate AI ...

A new technical paper titled “A Vertically Integrated Framework for Templatized Chip Design” was published by researchers at University of Southern California. “Developers who primarily engage with ...

Vibe coding — the fast-growing trend of using generative AI to spin up code from plain-language prompts — is quick, creative, and great for instant prototypes. But many argue that it's not cut out for ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.