Meta's new structured prompting technique makes LLMs significantly better at code review — boosting accuracy to 93% in some cases

This technique can be used out-of-the-box, requiring no model training or special packaging. It is code-execution free, which ...

Karpathy shares 'LLM Knowledge Base' architecture that bypasses RAG with an evolving markdown library maintained by AI

Karpathy proposes something simpler and more loosely, messily elegant than the typical enterprise solution of a vector ...
Visual Studio Magazine

Microsoft Ships Production-Ready Agent Framework 1.0 for .NET and Python

Microsoft has released version 1.0 of its open-source Agent Framework, positioning it as the production-ready evolution of the project introduced in October 2025 by combining Semantic Kernel ...

Mozilla introduces cq, describing it as 'Stack Overflow for agents'

Mozilla is building cq - described by staff engineer Peter Wilson as "Stack Overflow for agents" - as an open source project ...
InfoWorld

Oracle adds pre-built agents to Private Agent Factory in AI Database 26ai

The pre-built agents and Private Agent Factory itself would help developers accelerate agent building, especially those ...

Why AI Agents Make Biased Decisions In High-Stakes Fields

While AI delivers greater speed and scale, it can also produce biased or inaccurate recommendations if the underlying data, ...
Electronics For You

Build a Pocket AI Agent on Raspberry Pi Using PicoClaw

Learn how to build your own AI Agent with Raspberry Pi and PicoClaw that can control Apps, Files, and Chat Platforms ...
CSO Online

Leak reveals Anthropic’s ‘Mythos,’ a powerful AI model aimed at cybersecurity use cases

The draft blog post describes a compute‑intensive LLM with advanced reasoning that Anthropic plans to roll out cautiously, starting with enterprise security teams.