
Was 2025 Really the Year of AI Agents? A Developer's Take
After months of hype, 2025 was supposed to revolutionize coding with AI agents. Here's what actually happened and what developers should know about working with AI tools today.

The European Union is pushing forward with legislation that could force tech companies to scan your private messages and photos. Here's what's at stake for digital privacy and encryption.

Apple's upcoming privacy enhancements final release could include surprising additions beyond typical security updates. Industry insiders reveal features that may reshape digital privacy standards.

Qualcomm's Snapdragon 8 Elite Gen 6 specifications have leaked, revealing significant performance gains and cost implications for the premium smartphone market in 2027.

OpenAI's Sora amazed with text-to-video AI, but limited access has creators seeking alternatives. Discover the future of video generation technology and what it means for content.

LiteLLM versions 1.82.7 and 1.82.8 on PyPI were compromised in a supply chain attack. Discover how to check your dependencies, protect your credentials, and prevent future security breaches.

A supply-chain attack compromised the LiteLLM Python package, exposing developers to security risks. Discover what happened and how to protect your projects from similar threats.

While tech giants slash headcount, Reddit's CEO takes a different path. Steve Huffman plans to hire recent graduates and use AI as a growth tool, not a replacement strategy.

Inside a California factory, 3D printers produce cruise missiles for $300,000 instead of $5 million. This is the Pentagon's Arsenal of Freedom initiative in action.

The iPad 12 with A18 chip is confirmed for 2025, bringing Apple Intelligence to the base iPad lineup. Here's what to expect from Apple's most affordable AI-powered tablet.

Version control is evolving beyond Git. Explore the emerging technologies transforming how developers collaborate, track changes, and manage code in the age of AI and distributed systems.

Generic AI solutions are failing enterprises. Companies now demand deeply personalized AI tools that understand individual users, creating competitive advantages through aggressive customization.