When engineers feel insecure, they ship AI-generated output to protect their image rather than admit gaps in understanding.

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

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

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.

Creating your own programs might seem daunting. It’s a lot easier than you think.

Anthropic research shows developers using AI assistance scored 17% lower on comprehension tests when learning new coding libraries, though productivity gains were not statistically significant. Those ...

AI is increasing both the number of pull requests and the volume of code within them, creating bottlenecks in code review, integration, and testing. Here’s how to address them. AI is dramatically ...

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 ...

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