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

The TASKING toolchain has been designed with a foundation that enables OEMs to develop functionally safe and secure systems. Modern AI capabilities are supported within the toolch ...

The VS Code 1.110 cycle is putting more 'hands-on' capabilities into chat, led by native browser integration that lets AI agents interact with page elements, capture screenshots, and pull real-time ...

Linux kernel maintainers propose a less painful process for identifying developers. See how it can make Linux code safer than ever.

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

Strong quality cultures analyze this historical execution data to identify flaky tests, unstable code sections and deployment patterns that correlate with incidents. Machine learning algorithms can ...

Backend development is mainly defined by the library used to develop it. Choosing modern, optimized Node.js libraries directly impacts scal ...

For many developers, the most frustrating part of deploying a website, app, or service isn’t the build — it’s everything you have to do before you can ...

Generative AI tools analyzed target networks and wrote exploit code, enabling an opportunistic attacker to have an outsized ...

Mobile platforms operate under fundamentally different trust assumptions than we relied on for web security. Your mobile ...

Open source doesn’t guarantee responsible AI. But it increasingly makes responsible evaluation possible for smaller organizations.

India is emerging as a global leader in AI adoption, with new OpenAI Signals data showing that young Indians are using ChatGPT for coding, learning, and work tasks at rates far above global averages.