#Function Calling vs MCP
230 related articles
Tutorials·4 min
Getting Started with Codex from Scratch: Why It's a Better Fit Than Claude Code for Most People
In-depth comparison of OpenAI Codex vs Claude Code covering account stability, usage quotas, browser control, and automation — helping you get started with this all-in-one AI Agent desktop tool.
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Industry Insights·4 min
Google I/O 2026 Deep Dive: From Super Apps to the Battle for Ecosystem Dominance
Deep analysis of Google I/O 2026: Gemini 3.5 Flash, Omni video tools, Spark personal Agent, and how Google, OpenAI, and Anthropic are competing for AI ecosystem dominance.
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Tutorials·3 min
Gemini CLI Complete Guide: MCP Extensions & Memory Files in Practice
Complete guide to Google Gemini CLI setup, MCP Server extensions, and memory files. Covers 1M token context analysis, Context7 docs, Taskmaster task breakdown, and more.
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Tutorials·3 min
Spring AI + MCP Protocol in Practice: Tool Calling, Security Authentication, and Enterprise Deployment
Deep dive into Spring AI and MCP protocol integration, covering tool calling, OAuth security, horizontal scaling, and context optimization for enterprise AI Agent services.
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Tutorials·3 min
Spring AI Alibaba MCP Integration in Practice: Full Workflow from Server Setup to Client Invocation
Learn how Java developers can build MCP Server and Client using Spring AI Alibaba, define tools with @Tool annotations, and integrate with AI clients like Trae for LLM-powered business data access.
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Product Reviews·4 min
Comprehensive Review of 10 Mainstream AI Coding Tools: How to Choose from Cursor to Claude Code
In-depth comparison of 10 AI coding tools including GitHub Copilot, Cursor, Claude Code, and Windsurf, analyzed across features, target users, and pricing to help developers choose the right AI assistant.
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Tutorials·2 min
Getting Started with Claude Code: 5 Core Advantages Over Regular AI Coding Tools
Deep dive into the core differences between Claude Code and regular AI chat tools across 5 dimensions: interaction, context understanding, execution, memory, and tool invocation.
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Tutorials·2 min
Complete Guide to Building Claude MCP Services: From Local Development to Remote Deployment
Complete guide to MCP server setup: FastMCP local development, Claude CLI registration, STDIO vs HTTP communication modes, and Docker containerized remote deployment for AI-callable tool services.
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Product Reviews·3 min
OpenCode: A Deep Dive into the Terminal AI Coding Tool Built with Go
Deep dive into OpenCode, a terminal AI coding tool built with Go. Blazing-fast startup, multi-model support (Gemini, Claude), built-in Vim editor, and LSP integration. Compared with Claude Code and Aider.
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Tutorials·3 min
The Complete Guide to Cursor 2.0: Plan, Agent, and Ask — Three AI Modes Explained
A detailed guide to Cursor 2.0's three AI modes (Plan, Agent, Ask) and core features including inline editing, multi-Agent parallelism, project rules, and version control for efficient AI-powered development.
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Deep Dives·4 min
MCP Apps Deep Dive: AI Tools Move from Text Exchange to Interactive Collaboration
Deep analysis of MCP Apps: how Anthropic and OpenAI's official MCP extension enables AI tools to return interactive UIs, solving the context gap with Human-in-the-Loop collaboration.
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Product Reviews·3 min
Cursor vs Tongyi Lingma vs Qoder: A Comprehensive Comparison of Price, Performance, and Experience
In-depth comparison of Cursor, Tongyi Lingma, and Qoder across price, speed, code quality, IDE support, and Agent capabilities with selection advice.
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Product Reviews·2 min
Fitten Code MCP Launch: Connecting AI Agents to Unlimited External Tools
Fitten Code Agent now supports MCP protocol, enabling flexible integration with GitHub, Bing search, Excel, and other external tools to become a super AI programming assistant.
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Tutorials·3 min
LangGraph Multi-Agent Architecture: Graph Structure Principles and Enterprise-Level Implementation Guide
Deep 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.
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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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Deep Dives·2 min
MCP Protocol Explained: The USB-C of the AI World
Deep dive into MCP (Model Context Protocol): architecture, how it works, and security risks. Learn the key differences between MCP and Function Calling.
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Tutorials·3 min
The Complete Guide to Claude Code: From Personal Assistant to AI Agent Development
A systematic breakdown of the Complete Guide to Claude Code course, covering context engineering, MCP protocol, claude.md configuration, multi-Agent architecture, and three progressive projects.
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Tutorials·2 min
The Three-Layer Pyramid Model for Agent Development: From Beginner to Industrial-Grade Deployment
Deep dive into the Three-Layer Pyramid Model for Agent development, covering autonomous agents, collaborative multi-agent systems, and universal orchestration agents with a complete learning path from beginner to industrial-grade deployment.
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Tutorials·2 min
8 Core Concepts of AI Programming: From Chat Mode to Engineering Mode
A systematic breakdown of 8 core AI programming concepts: Agent, Sandbox, Permissions, Cloud.md, MCP, Skills, Subagents, and Non-interactive — evolving from chat mode to engineering mode.
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Industry Insights·2 min
How MCP Becomes a Deep Extension Point for Agent Platforms: Architecture Design and Practice
Deep dive into MCP protocol architecture in Agent platforms, covering MCP Proxy design, tool invocation for human-in-the-loop collaboration, permission integration, and advantages over Skill approaches.
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