#tool integration
66 related articles
Tutorials
LangGraph 0.5.3 + MCP Agent Developmen…
·2 min
LangGraph 0.5.3 + MCP Agent Development in Practice: Security Authentication & Deployment Guide
LangGraph 0.5.3 introduces MCP server security authentication and agent deployment solutions. Combined with Qwen3 models, it provides a complete production-grade AI agent development stack.
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Tutorials
AI Agent Practical Development: A Comp…
·3 min
AI Agent Practical Development: A Complete Guide from Concept to Building Production-Grade Intelligent Agents
A deep dive into AI Agent core principles and practical development paths, covering perception-decision-execution capabilities, MCP protocol tool integration, and analysis of Manus and AutoGLM.
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Product Reviews
OpenCode: A Deep Dive into the Termina…
·3 min
OpenCode: A Deep Dive into the Terminal AI Coding Tool Built with Go
Deep dive into OpenCode, a terminal AI coding tool built with Go. Blazing-fast startup, multi-model support (Gemini, Claude), built-in Vim editor, and LSP integration. Compared with Claude Code and Aider.
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Product Reviews
Claude Code 2.0 Complete Breakdown: Ch…
·3 min
Claude Code 2.0 Complete Breakdown: Checkpoint Rollback, Context Visualization, and Other Core Features Explained
Deep dive into Claude Code 2.0's core features: checkpoint rollback, context window visualization, usage tracking, native VS Code extension, and MCP server integration, with comparisons to Cursor and Codex.
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Tutorials
8 Free AI Coding Tools: Build a Comple…
·3 min
8 Free AI Coding Tools: Build a Complete Development Workflow at Zero Cost
A systematic review of 8 free AI coding tools covering UI design, terminal agents, IDE integration, and async coding to help developers build a complete zero-cost AI development workflow.
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Industry Insights
US vs. China AI Computer Control Diver…
·3 min
US vs. China AI Computer Control Divergence: Why Programming Tools Still Haven't Integrated GUI Agents
AI computer control success rates surpass humans, yet Cursor and Copilot still lack GUI Agent integration. Deep analysis of US product packaging vs. China's open-source ecosystem, plus three bottlenecks blocking the path to autonomous software engineers.
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Industry Insights
Behind the Gemini CLI Explosion: Why t…
·2 min
Behind the Gemini CLI Explosion: Why the Terminal Is Becoming the Ultimate Gateway for AI Agents
Google's open-source Gemini CLI hit 100K GitHub stars. This article analyzes why the terminal is becoming the ultimate AI Agent gateway through execution chains, infrastructure integration, and more.
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Product Reviews
UnityMCP 1.0 Hands-On Review: Generate…
·3 min
UnityMCP 1.0 Hands-On Review: Generate Unity3D Games with a Single Sentence Using AI
Detailed review of UnityMCP 1.0 plugin covering installation, core features, and real-world results. This MCP plugin integrates directly into Unity Editor, enabling automatic scene building, scripting, and component attachment via natural language.
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Product Reviews
Fitten Code MCP Launch: Connecting AI …
·2 min
Fitten Code MCP Launch: Connecting AI Agents to Unlimited External Tools
Fitten Code Agent now supports MCP protocol, enabling flexible integration with GitHub, Bing search, Excel, and other external tools to become a super AI programming assistant.
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Product Reviews
Link CC MCP Plugin: 78 Tools That Let …
·2 min
Link CC MCP Plugin: 78 Tools That Let AI Directly Control Cocos Creator to Build Games
Link CC MCP plugin integrates AI with Cocos Creator via MCP protocol, offering 78 automation tools for scene creation, node management, and component binding to build games from natural language.
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Tutorials·2 min
Cursor AI Programming in Practice: A Complete Guide to Using Coding Agents Efficiently
A deep dive into Cursor's coding agent architecture and practical techniques, covering code search, feature development, debugging, code review, and custom configuration for efficient AI programming.
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Tutorials·3 min
LangGraph Multi-Agent Architecture: Core Principles and Enterprise-Level Implementation Guide
Deep dive into LangGraph multi-agent architecture covering Graph structure principles, MCP service integration, Time Travel debugging, and supervised multi-agent enterprise implementation patterns.
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Product Reviews·3 min
Pair AI Integrates 6 Major Tools to Build an AI Coding Super Editor
Pair AI natively integrates 6 AI coding tools—Roo Code, SuperMaven, Perplexity, Memo, Continue—into one editor starting at $15/month, competing with Cursor and Windsurf.
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Product Reviews·2 min
Devin 2.0 Deep Dive: What Can the First AI Software Engineer Actually Do?
Deep dive into Devin 2.0 — the latest evolution of the world's first AI software engineer. Exploring autonomous coding, multi-agent parallelism, Ask Devin, Deep Wiki, and how it differs from Copilot and Cursor.
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Tutorials·3 min
Claude Agent SDK Python in Practice: Custom Tools, Multi-Turn Conversations & Hooks Security Control
A deep dive into Claude Agent SDK for Python: Query basics, custom Tools with MCP Server, CloudSdkClient multi-turn sessions, and Hooks security control with full code examples.
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Tutorials·3 min
LangGraph + MCP: A Practical Guide to Building Enterprise-Grade ChatBI Data Analysis Agents
Learn how to build a ChatBI data analysis Agent from scratch using LangGraph + multi-MCP architecture, covering centralized-to-decentralized evolution, NL2SQL, agent orchestration, and enterprise deployment.
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Deep Dives·2 min
MCP Protocol Explained: The USB-C of the AI World
Deep dive into MCP (Model Context Protocol): architecture, how it works, and security risks. Learn the key differences between MCP and Function Calling.
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Tutorials·3 min
Complete Breakdown of Andrew Ng's Agent Course: A Practical Guide to the Five Core Modules of AI Agent Development
Deep dive into Andrew Ng's viral AI Agent course covering five core modules: Reflection, Planning, Tool Use, Multi-Agent Collaboration, and Memory, with practical learning paths for LLM agent development.
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Deep Dives·2 min
What Is the MCP Protocol? Understanding the USB-C of the AI World
MCP (Model Context Protocol) is a unified standard for connecting AI models to external tools. This guide explains MCP's core concepts, practical value, and provides a quick-start tutorial.
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Tutorials·2 min
The Three-Layer Pyramid Model for Agent Development: From Beginner to Industrial-Grade Deployment
Deep dive into the Three-Layer Pyramid Model for Agent development, covering autonomous agents, collaborative multi-agent systems, and universal orchestration agents with a complete learning path from beginner to industrial-grade deployment.
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