The use of AI-powered tooling is becoming increasingly common in most development environments. Notable examples in this area include GitHub Copilot, Anthropic Claude, ChatGPT Codex, and more. As such ...

AI lets you code at warp speed, but without Agile "safety nets" like pair programming and automated tests, you're just creating technical debt even faster. Generative AI has revolutionized the space ...

AI is helping teams build software and tools faster than ever—but that doesn’t mean we’re building smarter. I’ve seen entire prototypes spin up in a day, thanks to AI coding assistants. But when you ...

Torvalds and the Linux maintainers are taking a pragmatic approach to using AI in the kernel. AI or no AI, it's people, not LLMs, who are responsible for Linux's code. If you try to mess around with ...

AI code generation appears to have a few kinks to work out before it can fully dominate software development, according to a new report by CodeRabbit. When compared to human-generated code, AI code ...

More than three years after the emergence of generative AI, AI-assisted coding remains by far the most popular and lucrative use case for the technology. Although multiple companies — including ...

AI coding benchmarks miss long-term code quality degradation from repeated iterative changes.

Egnyte, the $1.5 billion cloud content governance company, has embedded AI coding tools across its global team of more than 350 developers — but not to reduce headcount. Instead, the company continues ...

The mean number of open-source vulnerabilities per codebase doubled in the past year, according to the annual Black Duck Open Source Software and Risk Analysis (OSSRA) report released Wednesday. The ...

Follow ZDNET: Add us as a preferred source on Google. Torvalds and the Linux maintainers are taking a pragmatic approach to using AI in the kernel. AI or no AI, it's people, not LLMs, who are ...