Z.ai’s default-enabled workflow sent entire local repositories to cloud infrastructure, raising fresh concerns over how AI ...

You may have felt the power that flows from delegating git syntax and workflows to agents. A complementary power flows from asking agents to use gh to write, read, and reply to GitHub issues. Here are ...

A secure Azure landing zone can still fail if it makes developers fight the platform instead of making the right choices easier.

Chasing data independence may cost Europe more than it saves, especially with systems that must interoperate with international partners.

When AI decides it won’t remember its mistakes, humans need the ability to inspect its memory and review its process.

Anthropic’s move could reduce the maintenance burden of using multiple AI coding agents on a project — although it’s not without its complications.

A malicious npm package reached over 2 million weekly downloads by hiding its payload in a routine library function rather than an install script.

AI prompts take many forms. Sometimes you can get better results from your large language model by trying something different ...

“A distinct AI assurance layer is likely to emerge, but enterprises should not expect a single certification to establish ...

Developers are scrambling for tools to help them manage multiple coding agents, and coming up with useful tools of their own.

Popular AI coding agents such as OpenAI’s Codex, Anthropic’s Claude Code, Google’s Gemini CLI, and Microsoft-owned GitHub Copilot were vulnerable to a zero-click attack that enabled attackers to ...

Hosting open-weight AI models locally can offer enterprises more control — unless an AI agent decides to change the model ...