#智能体开发
33 related articles
Tutorials·2 min
Building a Financial Analysis Agent with Cursor + MCP: From Architecture Design to Production Deployment
A complete guide to building a financial analysis Agent system from scratch using Cursor AI and MCP protocol, covering three-layer architecture design, MCP Server development, and production deployment.
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Tutorials·3 min
MCP Protocol Explained: Differences from Function Calling and Agent Tool Development in Practice
Deep dive into MCP (Model Context Protocol): its principles, communication architecture, and practical applications. Compare MCP vs Function Calling, explore client-server communication and security.
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Tutorials·4 min
Claude Code Agent Architecture Source Code Deep Dive: Agent Loop and Tool System in Practice
Deep dive into Claude Code's four core agent modules: system prompt, Agent Loop, tool system, and memory mechanism. Build a Mini Claude Code from scratch in TypeScript.
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Tutorials·1 min
Harness Engineering: Essential Architecture Guide for Agent Development
Deep dive into Harness Engineering architecture for AI agents: multi-agent collaboration, memory management, middleware design, MCP integration, and LangChain's DeepAgent framework.
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Tutorials·4 min
Deep Dive into Claude Code's Agent Architecture: From Principles to Minimal Implementation
Deep analysis of Claude Code's four core agent modules: Agent Loop, Tool System, Skills, and Memory, with a TypeScript minimal implementation guide for frontend engineers transitioning to AI development.
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Industry Insights·4 min
Deep Dive into Claude Code's Open-Source Architecture: Six Core Design Principles and Engineering Practices Revealed
Deep analysis of Claude Code's open-source architecture: six core design principles including dual-loop mechanism, seven-step tool pipeline, four-layer token compression, multi-agent collaboration, and memory systems.
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Tutorials·1 min
Context Engineering Replaces Prompt Engineering: A Guide to Boosting Programming Efficiency with Claude Code
Learn how Context Engineering replaces Prompt Engineering to boost Claude Code efficiency. Build complex multi-Agent projects with zero coding using structured context files.
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Tutorials·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·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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Tutorials·2 min
Why Qwen3 Is the Best Open-Source Model for MCP Agent Development
Analysis of Qwen3's advantages for MCP agent development, comparing DeepSeek R1's lack of Function Calling, covering MoE architecture and thinking mode switching.
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Product Reviews·3 min
Warp 2.0 Deep Dive: An AI Development Environment with Multi-Agent Parallelism
Deep dive into Warp 2.0's Agent Development Environment (ADE): multi-agent parallel orchestration, terminal editor, AI coding platform, hands-on SaaS app building, and comparison with Cursor and Claude Code.
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Tutorials·3 min
MCP Protocol Explained: The New Agent Communication Standard Replacing Function Calling
Deep dive into MCP (Model Context Protocol): its core concepts, three communication mechanisms, and ecosystem. Learn how MCP replaces Function Calling with Streamable HTTP and SDK 2.0.
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Tutorials·2 min
LangGraph vs LangChain: How to Choose Your Agent Development Framework
In-depth comparison of LangGraph vs LangChain: controllability, extensibility, and FastAPI-powered performance. Covers storage, enterprise private deployment, and migration guidance for agent developers.
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Tutorials·3 min
Frontend Engineers Leveling Up to AI Agents: LangGraph.js Architecture Design & Practical Guide
How can frontend engineers advance into AI Agent development? This guide covers LangGraph.js core architecture (state, nodes, edges), LangChain comparison, and workflow agent design with practical examples.
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Tutorials·2 min
Huawei Hermes Agent Manual Explained: Five-Layer Memory Architecture and Multi-Agent Collaboration in Practice
Deep dive into Huawei's 100-page Hermes Agent manual: five-layer memory architecture solving AI amnesia, self-evolution loops for continuous optimization, and multi-agent collaboration engineering.
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Tutorials·2 min
Coze Platform AI Agent Development Tutorial: 15 Hands-On Projects for Beginners
A beginner's guide to AI Agent development on ByteDance's Coze platform — 15 no-code hands-on projects covering content creation, education, design, and more.
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Tutorials·2 min
OpenClaw in Practice: A Complete Guide to Building Three Enterprise-Grade AI Digital Workers in Two Weeks
Learn how to build enterprise-grade AI digital workers with OpenClaw, including a full recruitment automation AI HR Assistant, technical architecture, and offline deployment.
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Tutorials·2 min
Coze Complete Beginner's Guide: Build AI Agents in 7 Days
Complete guide to Coze's four core features: Agents, Plugins, Knowledge Base, and Workflows. Includes a 7-day learning path and three application scenarios for building AI agents with zero coding.
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Tutorials·2 min
Claude Code + Skills: A Complete Hands-On Guide to Automatically Generating Test Cases from Requirements Documents
A complete guide to using Claude Code with custom Skills for automated test case generation from requirements docs, covering normalization, decomposition, multimodal extraction, review, and export.
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Tutorials·1 min
Replicating Manus for $30: A Practical Guide to Low-Cost AI Agent Website Development
Learn how to replicate a Manus-like AI agent website on a $30 budget, covering agent orchestration logic, task execution UI design, and low-cost development strategies for indie developers.
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