AI agents are powerful, but without a strong control plane and hard guardrails, they’re just one bad decision away from chaos.

Anthropic’s Claude Opus 4.6 identified 500+ unknown high-severity flaws in open-source projects, advancing AI-driven vulnerability detection.

Discover Claude Opus 4.6 from Anthropic. We analyze the new agentic capabilities, the 1M token context window, and how it outperforms GPT-5.2 while addressing critical trade-offs in cost and latency.

According to the 2025 Stack Overflow Developer Survey, the single greatest frustration for developers is dealing with AI solutions that look correct but are slightly wrong. Nearly half of developers ...

Overview AI-generated code moves fast, but it lives in production for a long time, which makes strong monitoring essential ...

On the Humanity’s Last Exam (HLE) benchmark, Kimi K2.5 scored 50.2% (with tools), surpassing OpenAI’s GPT-5.2 (xhigh) and ...

Master AI hackathons with this comprehensive playbook on Vibe Coding. Learn how to build winning AI hackathon apps using AI ...

LangSmith introduces advanced debugging tools for deep agents, including AI assistant Polly and LangSmith Fetch CLI, to enhance LLM application development. LangSmith, a prominent tool in the ...

At the Naval Air Warfare Center Aircraft Division, engineers are pushing the boundaries of what's possible, showcasing a major leap forward in mission planning with their optimized cross-domain ...

Researchers at the University of Science and Technology of China have developed a new reinforcement learning (RL) framework that helps train large language models (LLMs) for complex agentic tasks ...

One of the most energetic conversations around AI has been what I’ll call “AI hype meets AI reality.” Tools such as Semush One and its Enterprise AIO tool came onto the market and offered something we ...