89 related articles
TutorialsLearn how to run Claude Code, Gemini CLI, and other AI CLI tools in Obsidian via the Terminal plugin for vault-wide awareness, note summarization, and more.
Six Pitfalls and a Three-Layer Solutio…
Deep dive into six common pitfalls of AI-generated API automation scripts and a three-layer solution covering diagnosis and optimization for real-world implementation.
Product ReviewsTwo-week in-depth review of Warp AI coding tool, comparing it with Cursor on Agent mode, MCP support, free credits, and Claude Opus 4.5 to help developers choose the right AI coding tool.
Spring AI + MCP Protocol in Practice: …
Deep dive into Spring AI and MCP protocol integration, covering tool calling, OAuth security, horizontal scaling, and context optimization for enterprise AI Agent services.
Claude Code Keeps Forgetting Everythin…
Fix Claude Code's amnesia problem. Use 3 documents and 4 slash commands to transform AI from a stateless code assistant into a project manager with memory, boosting efficiency 13x.
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.
Context Engineering in Practice with C…
Learn how to apply Context Engineering in CodeBuddy IDE using two custom rule files — a Requirements-to-TODO-LIST engine and a Project Execution engine — to generate complete apps with a single sentence.
Multi-Model Hot-Swap Architecture: Swi…
A complete guide to building a multi-model hot-swap architecture for production AI projects, covering abstraction layers, adapter patterns, visual configuration, and error-fixing workflows.
DeepSeek V3 + bolt.html: A Practical G…
Learn how DeepSeek V3-0324 and open-source tool bolt.html combine to generate beautiful HTML pages with zero code using prompt engineering techniques.
TutorialsA beginner's guide to learning AI large language models — covering learning paths, hardware requirements, Python essentials, and cloud services for learners at every level.
AI Agent Learning Roadmap: From Beginn…
A detailed three-month AI Agent learning roadmap covering LLM basics, ReAct paradigm, LangChain, memory mechanisms, tool calling, and multi-agent collaboration with practical project suggestions.
Complete Guide to Connecting Codex wit…
Step-by-step guide to deploying OpenAI Codex CLI in China using WSL + MoBridge relay + DeepSeek API. No VPN needed, stable and cost-effective setup in minutes.
UnityMCP 1.0 Hands-On Review: Generate…
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.
PyCharm AI Assistant Deep Dive: Local …
Explore PyCharm AI Assistant's new features: free local AI completion, cloud-powered generation, Chat & Edit modes, and context management tips for Python developers.
Five Core Capabilities of GitHub Copil…
Deep dive into GitHub Copilot's MCP integration in JetBrains IDEs: Agent Mode, Sampling model scheduling, MCP Prompts, Resources context injection, and Elicitation structured dialogue guidance.
TutorialsDeep dive into LangGraph's core graph structure design, single and multi-agent collaboration patterns, MCP protocol integration, and Time Travel fault-tolerance, with enterprise-level hybrid multi-agent architecture implementation.
Deep DivesDeep analysis of two MCP ecosystem breakthroughs: code execution compresses tool definitions from 150K to 2K tokens, and Agent Skills enable capability packaging and reuse.
TutorialsDeep dive into Andrew Ng and Harrison Chase's LangChain course, covering the five core components—Models, Prompts, Indexes, Chains, and Agents—to help developers master LLM app development.
TutorialsDeep 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.
TutorialsDeep dive into an open-source multi-Agent diagnostic system built on modified OneCall, featuring MCP real-time interaction, RAG-enhanced Q&A, and Skill routing to minimize Token consumption.