Python UDTF
Introduction Python UDFs help create an abstraction layer of custom logic to simplify query construction. However, for complex logic—such as running large-scale models or detecting patterns efficiently across table rows—you can use Python User-Defined Table Functions (UDTFs). We previously introduced session-scoped UDTFs in this blog post. UDTFs let
Xpeng Robot
Redefining the Public Service Experience with Humanoid Robots When intelligent technology steps out of the lab and into government service halls, how should we rethink the “service experience”? Using the example of the Xpeng Robot, this article explores human–machine collaboration in public services, showing how technology can reshape workflows,
SpringAI
# Introduction As a seasoned Java professional, I’ve closely followed the language's role in the AI space. Due to **inherent limitations**, however, **Java is unlikely to become a mainstream AI development language**. That said, Java **does** have a place in the AI ecosystem — especially as a **backend request-forwarding
workflow automation
Open Source Tools Overview This document highlights several automation, migration, security scanning, and AI-enhanced projects, along with deployment and monetization strategies using platforms like AiToEarn官网. --- 1. czlonkowski/n8n-mcp GitHub Repository Stars: 9.1k License: MIT n8n-mcp is a Model Context Protocol (MCP) server granting AI assistants (Claude Desktop, Claude
n8n
# Automating Workflows with n8n — A Guide for Technical Teams Automation has become one of the **most valuable skills** for any technical team. It eliminates repetitive tasks, accelerates operations, and frees up time for creative or strategic work. Whether it’s moving data between apps, triggering actions on changes, or creating
MCP
# Building an MCP Server in Python with FastMCP Artificial intelligence is evolving rapidly. Modern AI models can **reason**, **write**, **code**, and **analyze** in ways that once seemed impossible. However, there’s still one important limitation: **context**. Most AI models cannot directly access your **local files**, **APIs**, or **real‑time data*
AI Integration
zen-mcp-server: Multi-Model Context Protocol Server zen-mcp-server is a multi-model collaborative context protocol server designed to integrate multiple AI models and command-line tools, enhancing development team productivity. It enables seamless cooperation between various CLI tools and offers CLI-to-CLI bridging, allowing for task isolation, role specialization, and preserved conversational context. Repository: BeehiveInnovations/
HarmonyOS
Huawei’s Vision: An AI-Centered Operating System Ecosystem Huawei is aiming to build not just a traditional app ecosystem, but a full-scenario intelligent operating system with AI at its core. > “When people first start using our system, they feel it’s fresh and novel. As they keep using it,
HarmonyOS 6
The Birth of Brasília — A Metaphor for Innovation In 1956, Brasília emerged seemingly out of nowhere. Architects used this opportunity to break free from old frameworks, inventing a fresh spatial language and urban form. The result? A modern city now recognized as a UNESCO World Heritage site. History shows a
API
APIs vs MCPs — Understanding the Difference APIs and MCPs both enable communication between systems. At first glance they may seem alike — both allow one piece of software to request data or perform an action from another. However, their purpose, operation, and intended audience differ significantly. --- Table of Contents * What
Conversational AI
# Welcome to **The Blueprint** A showcase of how **Google Cloud customers** solve unique and common challenges across industries by leveraging cutting-edge **AI** and **cloud technologies**. Our mission: **Inspire innovation** for those seeking transformative solutions in their work. --- ## **The Challenge** [Giles AI](https://giles.app/) — a London-based startup — helps healthcare
Visual Studio
Microsoft Announces Model Context Protocol (MCP) GA in Visual Studio In August 2025, Microsoft announced the general availability of the Model Context Protocol (MCP) in Visual Studio. MCP enables a standardized connection between AI agents in Visual Studio and external tools or services, simplifying multi-system integration for developers. --- What