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 ...
More than 100 organizations just put their names on a warning that AI-enabled attacks will get far worse within months. Nearly every remedy they proposed activates after the attacker is already ...
GitLab will give unauthenticated users and users of its free tier a taste of the new restrictions during two “preview” windows between 3pm and 7pm UTC on October 7 and October 14. The changes will ...
By exploiting how AI coding agents retrieve and verify plugins, researchers were able to execute malicious code even when the agent was told to use a trusted, approved version.
One cloud region, four AI giants, and a preview of what happens if your agents all share the same failure domain.
AI agents used shared infrastructure, like package caches, to break isolation — proving environment signals are no substitute for real authorization checks.
Learn how to seize the power of Python’s dataclasses, editable installs, virtual environments, and new free-threaded build.
Designed for use in automated workflows, TypeSafe’s new model, Jev, is intended to help applications, not users, make ...
Hosting open-weight AI models locally can offer enterprises more control — unless an AI agent decides to change the model ...
What building a conversational AI agent that could query internal infrastructure metrics taught us about the importance of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results