# MCP

AI Large Language Model Learning Roadmap for Beginners: A Three-Month Hands-On Guide

A detailed zero-to-hero AI large model learning roadmap covering four phases—fundamentals, RAG, Agents, and engineering deployment—with a practical three-month study plan and career advice.

The Complete Vibe Coding Workflow: A G…

2026年6月6日·2 min

The Complete Vibe Coding Workflow: A Guide to Launching Apps with Zero Code

A detailed guide to the complete Vibe Coding workflow — from idea structuring and AI-driven UI design to automatic code generation — helping non-coders launch apps fast.

Codex Beginner's Guide: Lessons Learne…

Codex Beginner's Guide: Lessons Learned from 660 Million Tokens of Real-World Usage

Deep dive into OpenAI Codex Agent's core features, Skill ecosystem, context compression, and project-level Harness management tips from 660M tokens of real-world usage.

Google Agent Skills Library Hands-On: …

Google Agent Skills Library Hands-On: Can 12 Skills End AI's Obviously Fake UI Problem?

Hands-on review of Google's open-source Agent Skills library: how 12 Skills improve AI-generated UI quality, configuration pitfalls, and the strategic significance of standardizing Agent Skills.

Cursor Fails at UI Design Reproduction…

Cursor Fails at UI Design Reproduction: The Real Capability Boundaries of AI Coding

A developer's failed attempt to reproduce a UI design with Cursor reveals AI coding's real limits. Learn where AI tools excel and where human skills remain essential.

2026年6月5日·2 min

New Gemini macOS Feature: Double-Tap Command Key to Analyze Screen Content

Google launches screen-awareness for Gemini macOS: double-tap Command keys to attach active window content to AI conversations, enabling context-aware help without screenshots.

The "Magic Fatigue" Effect in AI Products: The Hidden Challenge of User Expectation Management

Exploring the "Magic Fatigue" effect in AI products: why users feel AI is getting dumber, how to distinguish real degradation from rising expectations, and strategies for managing user expectations.

OpenAI Supports Private MCP Servers: A Deep Dive into Secure Enterprise Intranet Connectivity

OpenAI announces ChatGPT, Codex, and Responses API now support private MCP servers, enabling secure enterprise intranet AI integration via outbound-only HTTPS.

2026年6月4日·3 min

The New Builder Mindset in the AI Era: How the Developer Role Is Evolving

OpenAI declares 'developers have evolved.' Explore the new builder mindset: the shift from code writers to product builders, lower barriers, and the rise of full-stack individuals in the AI era.

Firebase Agent Skills Explained: An All-in-One AI Agent Development Solution

Deep dive into Firebase Agent Skills architecture covering Firestore data backend, Firebase Auth, and AI Logic — three core components for building AI agent apps.

Andrew Ng's Agent Skills Course Explained: Building Reusable Professional Skills for AI Agents

Deep dive into Andrew Ng's Agent Skills course with Anthropic, covering Skills architecture, progressive loading, MCP integration, and hands-on examples for building reusable AI agent skills.

2026年6月4日·4 min

7 Core Features of Hermes Agent Explained: The Real Reasons Users Are Abandoning OpenCore

Deep dive into Hermes Agent's 7 core features including Kanban multi-tasking, /goal deep execution, and multi-agent architecture, compared with OpenCore's stability and performance issues.

Cursor Multi-Agent in Practice: Building a Full-Stack Next.js Blog in 50 Minutes

Cursor Multi-Agent in Practice: Building a Full-Stack Next.js Blog in 50 Minutes

Build a full-stack blog in 50 minutes using Cursor IDE's multi-Agent mode with Next.js, Clerk auth, and Supabase. Learn the 4-phase AI Agent workflow and key integration pitfalls.

Building an AI Software Factory from Scratch: A Cursor Engineer's Hands-On Experience with Multi-Agent Collaboration

2026年6月3日·3 min

Building an AI Software Factory from Scratch: A Cursor Engineer's Hands-On Experience with Multi-Agent Collaboration

Cursor engineer Eric shares practical insights on building an AI software factory: automation levels, guardrail design, parallel Agent management, and scaling to 1000+ Agents for 24/7 development.

ReAct vs. CodeAct: Two Core Approaches to Agent Tool Calling

2026年6月3日·3 min

ReAct vs. CodeAct: Two Core Approaches to Agent Tool Calling

In-depth comparison of ReAct and CodeAct — two core Agent tool-calling architectures. From paper principles to code implementation, learn the trade-offs between reasoning+action and code execution.

Building a Financial Analysis Agent with Cursor + MCP: From Architecture Design to Production Deployment

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.

Understanding Function Calling and MCP Through Cursor's System Prompt

Understanding Function Calling and MCP Through Cursor's System Prompt

Deep dive into Function Calling and MCP working principles through Cursor editor's system prompt analysis, comparing regular tools vs MCP tools and testing Agent capabilities across model sizes.

How AI Coding Skills Work: From Function Call to Sub-Agent Implementation

How AI Coding Skills Work: From Function Call to Sub-Agent Implementation

Deep dive into how AI coding Skills work: from Function Call to MCP to Skills as sub-agents with on-demand loading, implemented via Spring AI Alibaba.