Organisations should adopt shared platforms and automated governance to keep pace with the growing use of generative AI tools ...

Engineering teams can’t afford to treat AI as a hands-off solution; instead, they must learn how to balance experimentation ...

The development process improves because it is informed by real outcomes. AI learns from what happened, and the team adjusts its inputs. This creates a flywheel effect, with each phase building on the ...

7 AI coding techniques that quietly make you elite ...

For software developers today, staying competitive means embracing AI technologies. Here’s how some developers are staying ahead of the curve.

Anthropic research shows developers using AI assistance scored 17% lower on comprehension tests when learning new coding ...

Developers have a growing array of options for AI-powered low-code and no-code development tools. But using them to their full advantage requires adopting best practices. As agentic AI takes hold ...

Building a new app used to be a labor-intensive process. You’d need to set out your aims, think about your complementary functions, define your end user, and collect your data. But now, that’s no ...

You need a Mac, Xcode, and a connected AI model. Start tiny, build confidence, then expand your project. AI coding works best when you give clear, specific intent. So you want to create your own ...

How real is the AI threat to software companies? CNBC put it to the test by vibe-coding a Monday.com replacement.

Alexandr Wang, 28, is Meta’s chief AI officer. In a new interview, Wang recommended that young people learn how to vibe-code, or allow AI to write code based on instructions in plain English. Wang ...