Generative artificial intelligence (GenAI) has very quickly established a foothold among code developers as an essential tool in their workflow. Developers have shifted from the traditional code reuse ...

Developers often adopt generative AI (GenAI) because it helps them to code faster, yet the tooling has potential to expose organisations to unaccounted for risks – especially if use is unauthorised or ...

GenAI coding tools promise to upend how developers work. Which isn’t a bad thing; in fact, there’s much to like. Sure, it’s all fun and games until developers go rogue. SAP Insights explains how to ...

The software industry is synonymous with code. The better coder you are, the better your chances of a long haul in the industry. As a matter of fact, the CEOs of some of the major Indian IT ...

Common sense prevails: Use GenAI for routine and repetitive coding tasks, but leave the bespoke and intricate segments of an application to humans. Test GenAI with the same rigor that any other ...

A report from a code analysis vendor compares the details behind genAI rollouts between the two verticals, revealing that 61% of retail genAI code repositories show active development, compared to 22% ...

Last year, I wrote about the 10 ways generative AI would transform software development, including early use cases in code generation, code validation, and other improvements in the software ...

As financial firms grapple with the challenge of achieving returns on investment from generative artificial intelligence initiatives, there’s one area where GenAI is already delivering results—and ...

It's faster, for sure, but generative artificial intelligence (GenAI) is learning how to code just like a human developer would — and that means picking up mistakes along the way. GenAI and large ...

At Meta’s LlamaCon AI event, tech industry execs described how quickly AI is transforming coding — with Meta CEO Mark Zuckerberg predicting AI could handle half of all software development within a ...