Keycloak 26.6 brings zero-downtime updates and workflows

The open-source IAM system Keycloak 26.6 promotes five features to production status – including federated client ...

Naftiko Launches Alpha of Open-Source Framework That Turns API Sprawl Into Governed ...

Large enterprises manage an average of 1,295 SaaS applications and over 14,000 internal APIs. PARIS, ÎLE-DE-FRANCE, ...
Dark Reading

AI Conundrum: Why MCP Security Can't Be Patched Away

Organizations rushing to connect their LLM-powered apps to external data sources and services using the Model Context Protocol (MCP) may be inadvertently creating attack surfaces that are ...
腾讯网

Helidon 引入 Agent 能力，Java 框架开始内建 AI 编排

作者 | Michael Redlich译者 | 田橙Oracle 已发布 其微服务框架 Helidon 的 4.4.0 版本，该版本对齐了 OpenJDK 的发布节奏，通过新的 Java Verified Portfolio 提供支持，并引入了新的核心能力以及面向 LangChain4j 的智能体 AI 支持。Helidon 将改变其熟悉的语义化版本控制方式，以匹配 OpenJDK 的六个月发布 ...

Truelist Launches Free, Open-Source Developer Tools for Email Validation

Truelist releases 20+ free, open-source SDKs and framework integrations for email validation — Node, Python, React, ...

第一批拿到ClaudeCode全部源码的狠人解读来了！Anthropic有多处代码都是 ...

这不是一篇抨击文章。任何代码库都有技术债。但 Claude Code 是一个可以在你本机执行任意命令的产品，而它背后的公司融资超过 100 亿美元。有些设计选择，值得被公开讨论。 JSX 的嵌套深度达到 22 层（第 4604 行）。条件分支超过 ...
腾讯网

Agent Skills：打通可复用专业领域知识的最后一公里

一、引言：Anthropic Agent Skills的发展史起源：时间拨回2025年10月16日，Anthropic在 Claude 3.7 Sonnet / Opus 中正式推出 Claude Skills ...
Bleeping Computer

Microsoft investigates classic Outlook sync and connection issues

Microsoft is investigating several issues causing email synchronization and connection problems when using the classic Outlook desktop client. The first bug causes "Can't connect to the server" errors ...
Bleeping Computer

Microsoft stops force-installing the Microsoft 365 Copilot app

Microsoft has stopped automatically installing the Microsoft 365 Copilot app on Windows devices that have the Microsoft 365 desktop client apps. The Microsoft 365 Copilot app integrates the AI-powered ...
InfoQ中国 on MSN

重塑 AI Agent 架构：摒弃“上帝 Prompt”，基于状态驱动与多智能体 ...

导语 在过去的一两年里，大语言模型（LLM）的发展让 AI Agent 迎来了寒武纪大爆发。然而，当我们将 Agent 从简单的“单点对话”推向诸如“端到端旅游规划”这样长链路、多异构数据源的复杂生产场景时，传统基于单体 LLM 的 ReAct (Reason+Act) 模式迅速暴露出其工程瓶颈：响应极慢、状态易崩、逻辑与执行深度耦合。