#智能体
42 related articles
·4 min
Agent Development Learning Roadmap: A Four-Stage Systematic Guide from Beginner to Practitioner
A systematic four-stage learning roadmap for AI Agent development, covering core concepts, classic paradigms like ReAct, multi-agent collaboration frameworks, and hands-on projects to master Agent development skills in 2-3 months.
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·2 min
Claude Code Dynamic Workflows: A Complete Guide to Six Patterns and Ten Scenarios
Deep dive into Claude Code's dynamic workflow mechanism covering Agent, Parallel, and Pipeline functions, six orchestration patterns, and ten real-world scenarios with cost control tips.
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·3 min
CreateNow Controlled Development in Practice: Getting AI to Write Code Requirement by Requirement
Hands-on with CreateNow's controlled AI development: from requirements breakdown to modular coding. Covers model selection, breakpoint-resume, and acceptance checks.
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Deep Dives·2 min
MCP and A2A Protocols Explained: The USB Era of Agent Interoperability
A deep dive into MCP (Model Context Protocol) and A2A (Agent-to-Agent Protocol) — their architecture, core features, and how they work together to enable plug-and-play agent interoperability.
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Industry Insights·3 min
Gemini Membership Gray Market Scams Exposed: The Real Risks Behind 'Free Access' Tutorials
Exposing Gemini membership gray market scams that exploit Google I/O hype, analyzing account security and legal risks, and providing legitimate ways to access Gemini premium services.
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Tutorials·2 min
OpenClaw Step-by-Step Deployment Guide: From Local Installation to Multi-Platform Integration
Step-by-step OpenClaw open-source AI agent deployment guide covering local setup, cloud deployment, WeChat and Feishu integration, and custom Skills development.
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Tutorials·2 min
AI Agent + Vue 3 Full-Stack Development in Practice: Integrating the Coze Platform with Frontend Engineering
A deep dive into integrating AI agents with Vue 3 frontend development, covering Coze platform agent building, Vue3+TypeScript+Pinia stack practices, and AI content generation features.
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Expert Opinions·2 min
Stop Chasing AI Tools: The Right Approach Is Using AI Agents to Solve Real Problems
Learned tons of AI courses but can't apply them? This article reveals the right direction: stop chasing tools, use AI agents to solve real business problems with 10x efficiency gains.
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Industry Insights·2 min
Claude Code vs OpenClaw Architecture Comparison: Deep Analysis of Two AI Agent Technical Approaches
Deep comparison of Claude Code and OpenClaw AI Agent architectures—from tool governance pipelines and security sandboxes to memory systems and multi-agent collaboration.
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Deep Dives·3 min
How Claude Code Works: Inside the Agentic Programming Tool
Deep dive into Claude Code's core mechanisms including tool calling, agentic search, memory systems, and MCP protocol extensions. Learn how this CLI agent tool autonomously plans and executes complex development tasks.
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Deep Dives·2 min
Getting Started with Claude Code: Three Core Capabilities and Usage Guide
A deep dive into Claude Code's core capabilities: understanding codebases, autonomously executing commands, and searching the web. Learn key concepts like context windows and permission control.
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Tutorials·4 min
AI Agents for Auto-Generating Excel Test Cases: From Setup to Private Deployment — A Complete Guide
Learn how to use AI agents to auto-generate Excel test cases. Covers Coze platform setup, Dify private deployment with DeepSeek + Ollama, workflow design tips, and prompt engineering for testers.
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Tutorials·4 min
Skills vs Coze vs Dify: A Hands-On Comparison — Which AI Tool Is Best for Auto-Generating Test Cases?
Hands-on comparison of Skills, Coze, and Dify for AI-powered software testing — covering auto-generated test cases from PRDs, performance reports, and Q&A bots to help testers choose the right tool.
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Tutorials·4 min
Skills vs Coze vs Dify: A Hands-On Comparison — Which AI Tool Is Best for Auto-Generating Test Cases?
Hands-on comparison of Skills, Coze, and Dify for AI-powered software testing: auto-generating test cases from PRDs, performance reports, and requirements Q&A bots.
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Tutorials·2 min
Complete Guide to the Coze Platform: Build AI Applications with Zero Code
A comprehensive guide to Coze (扣子) by ByteDance: learn about agents, workflows, plugins, model selection, and resource credits to build AI apps with zero code.
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Tutorials·2 min
Building a Custom AI Agent to Automatically Write a Clock Program: AI-Powered Desktop App Development in Practice
A custom AI agent automatically writes a circular clock desktop program on the Volcano Visual platform, covering requirements analysis, code generation, self-inspection, and iterative bug fixing.
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Tutorials·2 min
Claude Code /goal Command Explained: Dual-Agent Architecture for Fully Autonomous AI Task Completion
Deep dive into Claude Code's /goal command: dual-agent architecture, auto-approve setup, finish line writing tips, and cost control strategies for fully autonomous AI task completion.
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Tutorials·3 min
LangGraph + MCP in Practice: A Deep Dive into Agent Architecture and the MCP Protocol
Deep dive into MCP (Model Context Protocol) core principles and practical applications, covering agent capabilities, MCP architecture, ERP integration, and building agents with LangGraph.
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Tutorials·3 min
LangGraph + MCP in Practice: A Deep Dive into Agent Architecture and the MCP Protocol
Deep dive into the MCP protocol's core principles and practical applications, covering agent capabilities, MCP architecture, ERP integration, and building agents with LangGraph.
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Tutorials·1 min
Getting Started with Agent Development: 3 Agent Types × 8 Core Mechanisms Fully Explained
A complete breakdown of AI Agent development: 3 agent types (autonomous, collaborative, orchestration-based), 8 core mechanisms, a 5-stage learning path, and framework selection guidance.
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