Vibe coding, where AI generates code from plain language, is rapidly adopted but creates significant security risks. Studies reveal thousands of high-impact vulnerabilities and exposed secrets in live ...

New benchmarks show semantic code graphs helping coding agents find change locations faster and complete updates more ...

Spend a few minutes on developer Twitter and you’ll run into it: “vibe coding.” With a name like that, it might sound like a passing internet trend, but it’s become a real, visible part of software ...

The disrupters have been disrupted. After decades of upending industries with their coding, software engineers are now the ones on the defensive. Developers saw their roles change drastically ...

The promise of vibe coding was that full-scale applications could be spun up from just an idea, powered by systems like Lovable and Replit AI. But it turns out writing the code is just the first step ...

Credit: VentureBeat made with Google Nano Banana Pro / Gemini 3 Image on fal.ai As AI-powered coding tools flood the market, a critical weakness has emerged: by default, as with most LLM chat sessions ...

Agent memory remains a problem that enterprises want to fix, as agents forget some instructions or conversations the longer they run. Anthropic believes it has solved this issue for its Claude Agent ...

What if an AI could not only write code but also reason through complex problems, manage multi-step workflows for hours, and even design a functional game or simulate a solar system? Enter Claude ...

A decade ago, coding academies were booming, fueled by the belief that learning to code offered a reliable path to recession-proof careers. Now, industry experts say the rise of artificial ...