For early-career developers, the signal is messy. Newer programmers lean on these tools more, yet the clearest performance gains show up among veterans. In other words, AI tends to reward people who ...

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 ...

Developers are navigating confusing gaps between expectation and reality. So are the rest of us. Depending who you ask, AI-powered coding is either giving software developers an unprecedented ...

Inside Adobe’s push to make AEM more expressive, faster and more intuitive — and the risks that come with vibe-driven development. When Adobe dropped its latest creative-tech update, the internet didn ...

We once taught young people how to talk to computers. In the early days of software, success meant mastering syntax, understanding loops, and managing memory and structure. But that era is fading.

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In the pre-large language model (LLM) Stack Overflow era, the challenge was discerning which code snippets to adopt and adapt effectively. Now, while generating code has become trivially easy, the ...

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 — 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 ...

The no-code movement is revolutionizing software development by allowing non-technical users to create applications without coding. Traditionally, software required extensive programming skills and ...

Why is vibe coding is called vibe coding? Vibe coding is a methodology in software development where the traditional act of writing code gives way to conversational instructions and collaboration with ...

Two years ago, I would have told you that autonomous AI coding was too risky for risk adjustment. Today, I'm implementing it—but only after finding an approach that met my compliance requirements.