#remote tool invocation
169 related articles
·4 min
MCP Hands-On Tutorial: Using AI to Automate Reverse Engineering of JS Encryption Algorithms
A detailed guide on MCP protocol setup and hands-on workflow showing how AI can automatically locate encrypted APIs, analyze obfuscated JS, set breakpoints, and restore sign algorithms to generate Python scraper code.
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·4 min
Vibe Coding Beginner's Guide: Tool Selection Across Three Categories with Practical Examples
A comprehensive guide to Vibe Coding's three tool categories: Agent frameworks, CLI Coding, and IDE tools, with practical examples including Snake game and data analysis workbench.
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·2 min
AI Super App Showdown: A Comprehensive Comparison of Cursor, Codex, Claude, and Anti-Gravity
In-depth comparison of four AI Super Apps — Cursor, Codex, Claude Desktop, and Anti-Gravity — across 11 dimensions to help you find the best AI dev tool.
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·3 min
Can AI Agents Replace Security Engineers? Insights from Coding Agents Reveal the Industry Truth
In-depth analysis of AI agents' real impact on cybersecurity. From chat tools to coding agents like Crawfish and Hermes, learn how AI is reshaping security engineering and how professionals should adapt.
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·2 min
What Is Claude Code? Key Differences from Regular AI Chat and Cursor
Deep dive into Claude Code's core advantages: automatic project code reading, local execution, persistent memory. Compare with regular AI chat and Cursor to find your ideal AI coding assistant.
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·3 min
Claude Code Installation & Setup Guide: Build Your AI Coding Assistant from Scratch
Step-by-step guide to installing and configuring Claude Code, covering Git/Node.js prerequisites, environment variables, and connecting domestic LLMs to build an AI assistant that reads, writes, and executes code.
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·3 min
Firebase Full-Stack App Template Launches on ADC: One-Click Cloud Infrastructure Deployment
Google Cloud ADC launches Firebase Full-Stack App Essentials template for one-click deployment of Authentication, Firestore, Cloud Functions with deep VPC, IAM, and Google Cloud integration.
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Tutorials·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.
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Tutorials·2 min
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.
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Product Reviews·1 min
Cursor 3.0 Deep Dive: Multi-Agent Parallelism, Design Mode, and Best-of-N Model Comparison
Cursor 3.0 evolves from an AI coding assistant into an Agent fleet command center. Explore multi-agent parallelism, Design Mode, and Best-of-N model comparison.
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Tutorials·2 min
MCP Protocol in Practice: Building an AI Investment Analysis Agent with TradingView + Notion
A detailed guide on MCP protocol vs Skills, integrating TradingView and Notion MCPs to build an automated investment analysis Agent with market scanning, backtesting, and report generation.
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Tutorials·2 min
Getting Started with LangChain for Enterprise Development: Core Modules and Debugging Tools Explained
Detailed guide to LangChain core modules including prompt templates, output parsers, Chain invocation, LCEL expression language, and LangSmith tracing tools for LLM application development.
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Tutorials·2 min
Claude Code in Practice: Engineering Guide for AI-Powered API Test Automation
A deep dive into engineering Claude Code for API test automation, covering environment setup, Skill development, tool encapsulation, and Harness Engineering methodology.
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Tutorials·3 min
MCP vs CLI: 40x Token Cost Difference — How AI Engineers Should Choose
In-depth comparison of MCP vs CLI architecture, Token costs (CLI ~1400 vs MCP ~54600), security mechanisms, and use cases with practical selection guidance for AI engineers.
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Tutorials·4 min
AI Reverse Engineering in Practice: Automating Crawler Encryption Cracking with MCP Workflows
Guide to building an MCP-based AI reverse engineering workflow using Chrome MCP, Remus MCP, and LLM APIs for semi-automated crawler encryption cracking with real-world case studies.
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Tutorials·4 min
AI Reverse Engineering in Practice: Automating Crawler Encryption Cracking with MCP Workflows
Learn how to build an MCP-based AI reverse engineering workflow using Chrome MCP, Remus MCP, and LLM APIs to automate crawler encryption cracking, with real-world cases and cost analysis.
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Tutorials·2 min
MCP Service Hybrid Deployment in Practice: Integrating Tools, Resources, and Prompts into a Single Service
Learn 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.
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Tutorials·3 min
MCP Protocol Explained: Differences from Function Calling and Agent Tool Development in Practice
Deep dive into MCP (Model Context Protocol): its principles, communication architecture, and practical applications. Compare MCP vs Function Calling, explore client-server communication and security.
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Deep Dives·3 min
MCP (Model Context Protocol): Solving the Three Core Pain Points of AI Tool Calling
Deep dive into how MCP (Model Context Protocol) solves three core pain points of Tool Calling: verbose descriptions, unstable invocations, and lack of unified standards.
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Deep Dives·3 min
MCP Protocol Explained: The Unified Standard and Complete Workflow for LLM Tool Calling
Deep 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.
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