AI-generated code requires stepped-up human oversight. Experts advise keeping AI-generated code in a sandbox. At best, AI may do about 80% of the work in building software. We've been hearing ...

Dr. Shaw and Dr. Hilton teach software engineering at Carnegie Mellon University. For decades, computer science students have been taught a central skill: using computers to solve problems. In ...

“Vibe coding,” a form of software development that involves turning natural language into computer code by using artificial intelligence (AI), has been named Collins Dictionary’s Word of the Year for ...

The vibe coding tool Cursor, from startup Anysphere, has introduced Composer, its first in-house, proprietary coding large language model (LLM) as part of its Cursor 2.0 platform update. Composer is ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I continue my ongoing series about vibe ...

Arduino is being acquired by Qualcomm subject to regulatory approval for an undisclosed sum. Qualcomm Arduino introduces a new UNO form factor board, the Arduino UNO Q, which features both a STM32 MCU ...

SAN FRANCISCO, Oct 7 (Reuters) - Qualcomm (QCOM.O), opens new tab on Tuesday said it has acquired Arduino, an Italian not-for-profit firm that makes hardware and software for developing prototypes of ...

The best laptops for coding and programming will feature the latest hardware and be capable of being pushed to the limits. You'll ideally be able to work across multiple programs at once, thanks to a ...

Vibe coding is the next evolutionary step in how generative AI is impacting coding and the software development lifecycle. Vibe coding, or AI-assisted development, lets a developer or less technical ...

Embedded designers and programmers tend to be a conservative lot who love to delve into the latest technology but adopt it after careful consideration. One of those technologies is vibe coding, which ...

OpenAI and Google DeepMind demonstrated that their foundation models could outperform human coders — and win — showing that large language models (LLMs) can solve complex, previously unsolved ...