Beware the hidden costs of AI-generated code; human oversight is essential to prevent bugs and maintain software quality.

The final weeks of 2025 did not arrive quietly. A single software flaw rippled across the internet, healthcare providers disclosed deeply personal data exposures, and millions of everyday devices ...

QEMU 10.2 revises security policies, modernizes the crypto subsystem, and accelerates asynchronous I/O under Linux.

The explosive, easy-to-trigger vulnerability was exploited within hours of disclosure, exposing the risks of default ...

Apple releases emergency patches for two zero-day vulnerabilities actively exploited in attacks. iPhone and iPad users urged ...

My coding skills leave something to be desired. I never stuck with the instructional books and guides long enough to truly create the kinds of apps and programs I wanted to see. AI chatbots powered by ...

Trust Wallet says a security incident in its Chrome extension v2.68 caused about $7M in crypto losses and urges users to update to v2.69.

Developers are leaning more heavily on AI for code generation, but in 2026, the development pipeline and security need to be ...

A new report by AI software company CodeRabbit found that code generated by an AI was far more error-prone than human-written ...

Abstract: One of the trickiest problems in software engineering is automating software issue fixes, which calls for a thorough comprehension of contextual relationships, code semantics, and dynamic ...

Microsoft's one-hour lesson in Bellevue aimed to introduce kids to fast-evolving AI and helping them use it responsibly.

The human layer is one of the most vulnerable when it comes to crypto security, but authentication, hardware wallets, automation and strict verification habits are key to reducing risk.