在AI智能体（AI Agent）的开发浪潮中，许多团队正面临一个共同的困境：“修复一个问题，却引发三个更隐蔽的Bug”。这种“按下葫芦浮起瓢”的现象，本质上是缺乏系统化评估体系导致的开发失控——团队像在迷雾中驾驶飞机，只能依靠“肉眼观察”和“事后补救”，无法预判风险，更难以自信地推进迭代。
根据 Google DeepMind 最新的技术报告，Gemini 3 Pro 在处理需要多步逻辑跳转的 GPQA (Graduate-Level Google-Proof Q&A) 测试中，准确率首次突破了 80% ...
Explore the pros and cons of passwordless authentication for b2b tech. Learn how mfa and ciam shifts impact security and user experience.
InfoQ中国 on MSN
代理式终端——如何使用CLI智能体激活你的终端
为什么命令行越来越具有代理式功能 传统上，终端或shell是一种命令式工具，依赖于像 ls 、 grep 和 git 这样的预定义命令来执行特定指令。 然而，像Gemini CLI、Claude Code和AutoGPT这样的代理性命令行工具的最新进展已经将这个简单的实用程序转变为一个更动态和智能的助手。
Discover how an AI text model generator with a unified API simplifies development. Learn to use ZenMux for smart API routing, ...
In this article author Sachin Joglekar discusses the transformation of CLI terminals becoming agentic where developers can state goals while the AI agents plan, call tools, iterate, ask for approval ...
Secure your MCP deployments with quantum-resistant integrity verification. Learn how to protect machine-to-machine model contexts from future quantum threats.
A good way to learn about customers' feedback is to scrape Amazon reviews. This detailed guide will show you 2 different ...
The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.
First 2026 cyber recap covering IoT exploits, wallet breaches, malicious extensions, phishing, malware, and early AI abuse.
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