52 related articles
TutorialsA deep dive into Anthropic's MCP (Model Context Protocol) covering client-server architecture, the three core primitives (Tools, Resources, Prompts), and how developers can quickly integrate with the MCP ecosystem.
TutorialsA deep dive into Anthropic's MCP (Model Context Protocol) covering client-server architecture and the three core primitives — Tools, Resources, and Prompts — to help developers quickly understand and integrate with the MCP ecosystem.
TutorialsLearn how to integrate Tools, Prompts, and Resources into a single MCP service. A practical guide to hybrid deployment that breaks the single-responsibility misconception for production environments.
TutorialsDeep dive into MCP (Model Context Protocol): its principles, communication architecture, and practical applications. Compare MCP vs Function Calling, explore client-server communication and security.
Deep DivesDeep dive into how MCP (Model Context Protocol) solves three core pain points of Tool Calling: verbose descriptions, unstable invocations, and lack of unified standards.
Deep DivesDeep dive into MCP (Model Context Protocol): core concepts, role definitions, and complete workflow. Learn how MCP Server, Client, and Host work together to standardize LLM tool calling.
TutorialsA detailed guide to MCP (Model Context Protocol) in Claude Code, covering server setup, three scope configurations, context window optimization, CLI alternatives, and Skills best practices.
TutorialsExplore building AI Agents on Kinoviz for automated vector animation, analyzing the division between system and AI capabilities, and applications in logo animation and data visualization.
Deep DivesDeep dive into context engineering as the core of Agent development, covering five context modules, four pain points, and dynamic assembly solutions including compression, hybrid retrieval, multi-Agent architecture, and state machine control.
TutorialsLearn 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.
TutorialsDeep 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.
TutorialsDeep dive into MCP (Model Context Protocol) core principles and practical applications, covering agent capabilities, MCP architecture, ERP integration, and building agents with LangGraph.
TutorialsDeep dive into the MCP protocol's core principles and practical applications, covering agent capabilities, MCP architecture, ERP integration, and building agents with LangGraph.
TutorialsStep-by-step guide to building an automated short video generation workflow on Coze, covering script writing, voiceover, AI images, video synthesis, and CapCut packaging.
TutorialsDeep 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.
TutorialsA detailed guide on building an intelligent code assistant with the OpenAI API, covering Chat Completions, Responses, and Assistants APIs, GPT-4.5 vs Codex models, and tools like Function Calling and Code Interpreter.
n8n + Claude Code: Build a Fully Autom…
Learn how to build an automated workflow with n8n and Claude Code that turns Slack messages into GitHub Pull Requests — from setup to scripts to live demo.
Deep Dive into Cursor Skills: From Fun…
Deep dive into Cursor Skills' underlying principles, from Function Call and MCP protocol to Workflow Agent, with Spring AI Alibaba practical demo for any LLM.
Qoder's Context Engineering in Practic…
Deep analysis of Qoder's (Tongyi Lingma international edition) context engineering architecture, including its four-layer retrieval engine, memory engine, context caching, and core product design.
Building AI Agents with Node.js: Repla…
Learn how to refactor a Node.js AI Agent using Function Calls instead of prompt engineering. Covers tool definition via JSON Schema, the Agent Loop, and key implementation details from analyzing Claude Code.