It was on a very silly project, but with even Linux's creator now using AI, the debate over code quality, maintainability, and developer skills is likely to intensify.

There is a common misconception that AI applications can be sufficiently tested and derisked by running a pilot in a sandboxed environment.

For software developers, choosing which technologies and skills to master next has never been more difficult. Experts offer ...

Overview Rapid innovation is reshaping the IT landscape - compelling professionals to learn high‑demand skills in cloud ...

Overview Leading voice AI frameworks power realistic, fast, and scalable conversational agents across enterprise, consumer, ...

Ivan Battimiello earned a 2025 Global Recognition Award for technical leadership in secure systems engineering. His nine-year ...

Rust-based inference engines and local runtimes have appeared with the shared goal: running models faster, safer and closer ...

Discover the leading code analysis tools for DevOps teams in 2025. Enhance your software development process with automated security and quality checks to mitigate risks and improve code health.

Five years, one artist, one robot: how Maxim Gehricke made SEN, a 3D animated short film created solo from concept to final ...

Dive deep into Nesterov Accelerated Gradient (NAG) and learn how to implement it from scratch in Python. Perfect for ...

If you’re building with AI today — for business operations, content, automation or long-term strategy — don’t fall for the ...

Sui Network unveils four-component technology stack enabling verifiable data, programmable access, and secure AI execution ...