#Windsurf MCP
164 related articles
·3 min
OpenAI Codex IDE Extension in Practice: A Complete Guide to VS Code Installation and Local Development
A hands-on guide to installing and configuring the OpenAI Codex IDE extension, covering its three working modes and Agent demo. Supports VS Code, Cursor, and Windsurf.
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·3 min
Generate a Mini-Game from a Single Prompt? Testing the Cocos AI Agent Plugin
Deep dive into the Cocos Creator AI Agent Plugin: three-level context compression, tool approval, multi-agent parallelism, and DeepSeek-powered Mario scene building — all in one test.
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·4 min
BrowserWing: A Browser Action Recorder That Offers a Pragmatic Approach to AI Web Automation
BrowserWing is an open-source browser action recorder (1300+ GitHub stars) with 78 built-in scripts for GitHub, Bilibili, Zhihu, and more. Record once, run repeatedly, and let AI Agents reliably execute fixed web workflows.
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·5 min
Browser Use: A Deep Dive into the Event-Driven Browser AI Agent Framework
Browser Use is an open-source AI Agent framework that lets LLMs autonomously drive browser operations via natural language. This article breaks down its four-layer architecture, core Agent loop, CDP perception layer, dynamic Tools dispatch, and its Skills, Sandbox, and MCP extension capabilities.
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·6 min
The Eight-Step Method for Agent Development: A Practical Path from Pitfalls to Production
Many enterprises fail at AI Agents due to choosing the wrong tools and lacking methodology. This article outlines an eight-step Agent development method—from cognitive foundations, scenario selection, hand-writing ReAct, and structured output to Tool Use, RAG, evaluation sets, and production fallback.
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·2 min
Cursor Team Tools Leaderboard: One-Click Config Sync and Best Practices
Cursor's new Team Tools Leaderboard lets you discover popular plugins, skills, and MCP services in your team with one-click setup — unifying configs and spreading best practices.
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·4 min
Why General-Purpose Agents Don't Work: How a Job Interview Reshaped One Developer's Thinking
An Agent developer's three-round interview reveals why general-purpose Agents are a dead end for startups. The path forward: vertical Agents, domain context, and iteration speed as a moat.
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·6 min
From Frontend Engineer to AI Agent Developer: A Complete High-Paying Skill Tree Breakdown
Pure frontend roles are shrinking; AI Agent development is the high-salary divide. This guide breaks down the full skill tree for frontend engineers pivoting to AI: TypeScript, frameworks, AI productivity, and Agent core concepts (MCP, Tool Calling, Skill).
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·5 min
OfficeCLI: A Command-Line Tool for AI Agents to Read and Write Office Documents
OfficeCLI is a command-line office suite for AI agents, supporting reading and writing of Word, Excel, and PowerPoint files—enabling efficient Office document automation without complex glue code.
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·7 min
The Complete Guide to OpenCode: Installing, Configuring, and Using the Terminal AI Coding Assistant
An in-depth guide to installing, configuring, and extending OpenCode, the terminal AI coding assistant. Covers desktop and WSL installation, model config, MCP integration, and custom Agents.
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·6 min
Java Developer's Guide to AI Application Development: Building an Airline Intelligent Customer Service System
A practical guide for Java developers to build AI apps without switching to Python. Learn LangChain4j, RAG, Function Calling, and MCP through an airline customer service project.
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·3 min
Meta Open-Sources Astryx: The First Design System Built for AI Agents
Meta open-sources Astryx on GitHub — an Agent Ready design system built for AI coding assistants. 5,600+ Stars and growing. Learn how it tackles AI hallucination in UI code generation.
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·2 min
Andrew Ng Partners with Anthropic: A Deep Dive into the Claude Code Practical Course
Andrew Ng and Anthropic launch a Claude Code course covering RAG chatbots, data dashboards, and Figma-to-frontend projects, with Git Worktrees and MCP server orchestration.
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·8 min
The Codex Orange Book: An Open-Source Full-Stack Practical Guide for AI Programming Beginners
The Codex Orange Book is an open-source unofficial guide with 2.5K+ GitHub Stars, covering installation, plugins, MCP extensions, and hands-on projects to help beginners master AI programming tools.
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·7 min
A New Core Skill for Programmers: How to Effectively Lead Your AI Agent Dev Squad
Coding alone isn't enough anymore. Learn the 5 key steps to commanding AI Agents—define outcomes, split tasks, provide context, iterate small, and keep humans in the loop.
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·7 min
Agent Loop Explained: The Core Runtime Mechanism and Think-Act Cycle of AI Agents
Deep dive into Agent Loop mechanics: the think-act cycle, how agents differ from LLMs, termination conditions, and design principles for building autonomous AI Agent systems.
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·4 min
AI Keeps Failing at Writing Code? You Need Knowledge Bases, Skills, MCP, and Agents — All of Them
AI coding failures in enterprise aren't about weak models — they're about missing frameworks. Learn how Knowledge Bases, Skills, MCP, and Agents work together.
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·3 min
Andrew Ng Partners with Anthropic to Launch a Comprehensive Claude Code Hands-On Course
Andrew Ng partners with Anthropic on a Claude Code course covering context configuration, MCP server collaboration, multi-instance workflows, and a RAG chatbot hands-on project.
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·3 min
Three Paradigm Shifts in LLM Interaction: From Website to Desktop App to Team Member
Explore the three paradigm shifts in LLM interaction: from ChatGPT as a website, to desktop apps, to autonomous AI team members that collaborate asynchronously with humans.
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·2 min
Deep Dive into Goose Open-Source AI Assistant: A Practical Guide to the 50K-Star Local Workbench
Deep dive into Goose, the 50K-star open-source local AI assistant. Covers MCP tool integration, multi-model switching, Recipes workflows, and comparisons with Codex and Cursor.
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