#AI应用
1009 related articles
Tutorials·2 min
LangChain 1.0 Complete Guide: Architecture, Core Modules, and Learning Path
Deep dive into LangChain 1.0's three-layer architecture (LangChain, LangGraph, Deep Agents), core components like Models, Tools, and Memory, plus a complete learning path from semantic search to multi-agent collaboration.
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Tutorials·3 min
Getting Started with Claude Code: Installation, Configuration, and Practical Tips for a Terminal AI Coding Assistant
A detailed guide to Claude Code's installation, core advantages, and practical workflows. This terminal-based AI coding assistant offers deep codebase understanding, Git integration, and GitHub automation.
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Tutorials·3 min
Getting Started with Claude Code: Installation, Configuration, and Practical Tips for a Terminal AI Coding Assistant
A detailed guide to Claude Code's installation, core advantages, and practical workflows. This terminal-native AI coding assistant offers deep codebase understanding, Git integration, and GitHub automation.
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Tutorials·2 min
Building a Custom AI Agent to Automatically Write a Clock Program: AI-Powered Desktop App Development in Practice
A custom AI agent automatically writes a circular clock desktop program on the Volcano Visual platform, covering requirements analysis, code generation, self-inspection, and iterative bug fixing.
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Tutorials·2 min
Claude Code /goal Command Explained: Dual-Agent Architecture for Fully Autonomous AI Task Completion
Deep dive into Claude Code's /goal command: dual-agent architecture, auto-approve setup, finish line writing tips, and cost control strategies for fully autonomous AI task completion.
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Tutorials·3 min
Why Learning AI from Scratch Leaves You More Confused — A Clear, Systematic Roadmap for Beginners
Confused learning AI from scratch? This guide breaks down why fragmented learning fails and provides a complete path from Python to deep learning with practical tips.
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Tutorials·4 min
Claude Code Agent Architecture Source Code Deep Dive: Agent Loop and Tool System in Practice
Deep 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.
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Tutorials·2 min
OpenAI Codex Installation & Configuration Guide: A Complete Breakdown of Features and Usage Tips
A detailed guide to OpenAI Codex installation, environment setup, multi-task parallelism, sandbox permissions, context management, and Steer guidance to help developers get started quickly.
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Tutorials·1 min
AI-Assisted Web Scraping Reverse Engineering: Automated Environment Patching Workflow & Monetization Analysis
Learn how AI automates browser environment patching in web scraping reverse engineering, cutting hours of manual work to minutes, plus market demand and monetization analysis.
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Tutorials·1 min
Harness Engineering: Essential Architecture Guide for Agent Development
Deep dive into Harness Engineering architecture for AI agents: multi-agent collaboration, memory management, middleware design, MCP integration, and LangChain's DeepAgent framework.
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Tutorials·2 min
Beginner's Guide to Installing Claude Code: Complete Tutorial for Connecting to DeepSeek via CC Switch
Step-by-step beginner's guide to installing Claude Code, configuring environment variables, and connecting to DeepSeek via CC Switch for low-cost AI coding.
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Tutorials·2 min
AI Image Upscaling Tested: One-Click Photo Enhancement with Stunning Results
Hands-on test of AI image enhancement: step-by-step workflow, HD vs Ultra HD comparison, and how AI super-resolution restores blurry details in one click.
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Industry Insights·3 min
OpenAI Foundation: How to Help Society Build AI Resilience
OpenAI CEO Sam Altman announces the OpenAI Foundation is helping society build AI resilience. Explore its strategy across workforce transition, AI literacy, safety research, and AI governance.
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Tutorials·2 min
Deep Dive into Claude Code's Seven-Layer Architecture: Source-Level Analysis of the ReAct Loop and Configuration-Driven Design
Deep analysis of Claude Code's seven-layer architecture, ReAct loop core principles, and configuration-driven design. Source-level deconstruction of AI Agent mechanics with best practices.
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Tutorials·3 min
LangGraph + MCP in Practice: A Deep Dive into Agent Architecture and the MCP Protocol
Deep dive into MCP (Model Context Protocol) core principles and practical applications, covering agent capabilities, MCP architecture, ERP integration, and building agents with LangGraph.
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Tutorials·3 min
LangGraph + MCP in Practice: A Deep Dive into Agent Architecture and the MCP Protocol
Deep dive into the MCP protocol's core principles and practical applications, covering agent capabilities, MCP architecture, ERP integration, and building agents with LangGraph.
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Product Reviews·3 min
WhichLLM: One Command to Find the Best Local LLM for Your Hardware
WhichLLM is an open-source tool that auto-detects your hardware and recommends the best local LLM using real benchmark data. Simulate GPUs, filter fake benchmarks, and start chatting in one command.
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Tutorials·1 min
Spring Framework 6 Learning Guide: A Complete Knowledge System from IOC and AOP to AOT
A systematic guide to Spring Framework 6 covering IOC, AOP, declarative transactions, and Spring AOT native compilation, with a complete learning path from beginner to expert.
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Industry Insights·2 min
OpenAI Symphony: The Future of Coding Agents Is Task Queues, Not Chat Windows
Deep dive into OpenAI's open-source Symphony orchestration framework: how it transforms Coding Agents from chat windows to task queue-driven workflows with state machines, Proof of Work, and Workspace isolation.
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Industry Insights·2 min
OpenAI Symphony: The Future of Coding Agents Is Task Queues, Not Chat Windows
Deep analysis of OpenAI's open-source Symphony orchestration framework: transforming Coding Agents from chat windows to task queue-driven workflows with state machines, Proof of Work, and workspace isolation.
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