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Dify is a Chinese open-source AI app platform supporting chatbots, Agents, and workflows. This guide covers Dify 1.8.0 Docker deployment, enterprise use cases, and how to build your first AI app.

Complete guide to Dify's five app types, Docker deployment for v1.8.0, and workflow building. Compare Dify vs Coze and learn to build enterprise AI apps with no code.

A detailed 7-step guide to building commercial AI Agents, covering requirements, platform selection (Coze/Dify/FastGPT), prompt engineering, databases, UI, testing, and deployment.

A systematic guide to three AI development modes: chat-based, Agent, and AI IDE. Covers model selection, cost comparison, and use cases for beginners.

Analysis of a 748-episode, 198-hour AI LLM development tutorial covering API integration, prompt engineering, RAG, AI Agents, fine-tuning, multimodal development, and deployment.

A systematic AI Agent learning path covering core principles, Prompt engineering, RAG, multi-Agent collaboration, and hands-on projects for beginners.

A 6-week systematic learning roadmap for AI Agent development, covering core architecture, ReAct principles, multi-agent collaboration, RAG integration, and deployment.

Build an AI Agent from scratch with 200 lines of Python, covering prompts, memory, tool calling, RAG, and Skills — a practical guide for developers.

Build AI Agents with zero coding experience! Learn prompt engineering, RAG knowledge bases, and workflow orchestration using no-code platforms like Coze and Dify, plus real monetization paths.

A detailed guide to Coze platform's core interface, template marketplace, plugin store, and workflow building to help beginners create AI agents and automated workflows.

A systematic guide to AI Agent development covering the three-stage learning path, core tech stack including LLM, RAG, and LangChain, plus how to build a one-person company through automated Agent workflows.

A comprehensive guide to AI Agent development for beginners, covering low-code platforms, LangChain framework, and monetization strategies for building and deploying intelligent agents.
TutorialsDeep analysis of ByteDance's Codex Chinese manual covering environment setup, MCP workflows, Skills encapsulation, and multi-Agent collaboration across ten chapters for developers.
TutorialsA comprehensive guide to Coze (扣子) by ByteDance: learn about agents, workflows, plugins, model selection, and resource credits to build AI apps with zero code.
Product ReviewsA complete AI tool matrix for solo businesses across 7 categories—Text, Image, Video, Audio, Digital Avatars, Coding & Agents—with top picks, alternatives, and open-source options.
TutorialsDeep dive into LangGraph multi-agent architecture covering Graph structure principles, MCP service integration, Time Travel debugging, and supervised multi-agent enterprise implementation patterns.
TutorialsLearn the structure and creation methods of Claude Code Skills. Build reusable skills like translation with zero code using Skills Creator to boost AI productivity.
Expert OpinionsUsing Doubao, Kimi, or ChatGPT daily but still overwhelmed? The problem isn't AI — it's how you use it. Learn the key difference between AI chat and AI Agents, and how to shift from talking to AI to having AI actually do the work.
TutorialsJava+AI roles offer 30%-60% salary premiums in 2026. Learn how Java developers can master LLM skills, Spring AI, and AI tools to land higher-paying jobs.
TutorialsIn-depth analysis of the popular GitHub project ai-agents-from-zero, covering LangChain, LangGraph, RAG, MCP and more, with a complete learning path from beginner to enterprise AI Agent development.