On March 24, 2026, developers building AI applications with LiteLLM — a Python package with 95 million monthly downloads — ...

Mojo programming language reaches 1.0 stable release after three years of API churn, ending breaking changes for production developers. An Oak Ridge National Laboratory study found Mojo GPU kernels ...

It's far easier to find security holes than to fix them, and leaving it to AI can introduce 9 times as many new ...

AI agent tool bypass vulnerability CoreBreak exposed production agent infrastructure at AWS, Google, and Vercel, where attackers could invoke tools without any model turn. AWS fixed its managed ...

AI agent flaws in AWS, Google, and Vercel let forged tool calls reach tools without model authorization, while several paths ...

Security researcher Kevin Beaumont got a call last week from a major US technology company that insisted it had nothing to worry about: all the credentials stolen in March's LiteLLM supply chain ...

Risky security flaws are found in 45% of AI-generated code tests. Here are the 5 checks that make a vibe coded app safe to ship.

This article explores how ASCII-based instrument control evolved into the SCPI standard, which continues to provide a common language for programmable test equipment more ...

Spread the loveWhen you’re diving into the world of programming, especially with Python, the tools you choose can profoundly ...

ARC-AGI-3 benchmark gains its first fully open-source agent: NIMI's Tycho writes Python code as falsifiable hypotheses about ...

Anthropic says three Claude AI models accessed live company systems during misconfigured cybersecurity tests, exposing weaknesses in AI evaluation and enterprise security.

Vulnerabilities can lurk within production code for years or decades — and AI tools have opened a gateway to a glut of new long-hidden discoveries.