#ByteDance Coze
128 related articles
·4 min
AI Agent Development Deep Dive: Opportunities, Real Entry Barriers, and Learning Paths
A deep dive into AI Agent development: real architecture, entry barriers, and learning paths. From ReAct to multi-agent systems and LangChain — cut through the hype.
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·3 min
AI Application Development Learning Roadmap: From Agents and RAG to Real-World Career Success
Want to break into AI application development? This guide covers the full learning path — from Agents and RAG to Prompt Engineering — helping you master LLM engineering skills and land the job.
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·4 min
Agent Skills Explained: A Five-Level Evolution from Prompt to AI Expert
A deep dive into Agent Skills: from basic prompts to fully encapsulated AI capability units. Five levels of human-AI interaction evolution, with clear distinctions between Skills, MCP, and Workflow.
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·6 min
Getting Started with Coze Agents: Core Concepts, Platform Positioning, and a Practical Implementation Guide
A systematic guide to Coze's core positioning, its differences from Dify/n8n, and its full capability system covering agents, workflows, and multi-agent modes—helping beginners get started fast.
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·7 min
Dify 1.8.0 in Practice: A Complete Guide to Building Enterprise-Grade AI Workflows with Zero Code
An in-depth walkthrough of deploying Dify 1.8.0 and building applications: three-step Docker deployment, five app types compared, and Workflow vs Chatflow use cases—build enterprise AI apps with zero code.
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·6 min
Coze from Scratch: A Complete Guide to Building Multi-Agent Collaboration
A detailed guide to Coze's core features: cross-platform interoperability, the Skills system, multi-agent collaboration, and workflow building. Compare Coze and Dify to build practical AI apps with zero coding.
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·2 min
Coze 3.0 Multi-Agent Collaboration: A Complete Guide to Building Your AI Team
A hands-on guide to Coze 3.0 multi-user, multi-Agent projects: create projects, add members, toggle Agents, and use @ mentions to dispatch tasks efficiently.
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·3 min
Claude Account Banned? A Complete Test of Chinese Domestic Agent Alternatives
Claude bans disrupting your workflow? We tested GLM-5.2 + WorkBuddy across dev, office, and research tasks. Here's whether domestic AI can truly replace Claude.
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·3 min
Coze Beginner's Guide: A Complete Guide to Building AI Agents Without Code
Learn how to use Coze (扣子) by ByteDance: build AI agents and apps with zero coding using drag-and-drop. Compare domestic vs. international versions, Bot vs. App formats.
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·2 min
Dify Getting Started Guide: Build Enterprise-Grade AI Apps with Zero Code
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.
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·3 min
Dify Comprehensive Guide: The Open-Source Platform for Building AI Apps Without Code
Deep dive into Dify, the open-source LLM app development platform featuring visual workflow engine, RAG knowledge base, Agent capabilities, hundreds of model integrations, Docker deployment, and comparisons with LangChain, Coze, and FastGPT.
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·4 min
LangGraph.js Practical Guide: A Frontend Engineer's Path to AI Agent Development
A practical LangGraph.js guide for frontend engineers covering LangGraph vs LangChain comparison, workflow vs general-purpose agent types, and layered Agent architecture design.
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·4 min
Three Modes of AI Development: A Complete Guide from Chat to Agent to IDE
A systematic guide to three AI development modes: chat-based, Agent, and AI IDE. Covers model selection, cost comparison, and use cases for beginners.
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·3 min
Coze Workflow Development Tutorial: A Complete Guide to Building AI Apps with Zero Code
Complete guide to Coze workflow development covering Agent building, node orchestration, plugin systems, API integration, and a Coze vs Dify comparison.
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·3 min
Coze Tutorial: A Complete Guide to Building Multi-Agent Systems from Scratch
A complete guide to building AI agents on Coze, covering core features, Dify comparison, skill store usage, workflow building, and multi-Agent collaboration — no coding required.
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·3 min
Microsoft Build 2026: In-Depth Analysis of the In-House Reasoning Model MAI Thinking-E and the Full AI Product Suite
Microsoft Build 2026 unveils MAI Thinking-E, its first in-house reasoning model with 1T MoE architecture, plus 6 vertical AI models. Deep dive into performance, strategy, and industry trends.
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·3 min
Complete Guide to the Coze Platform: Build AI Agents with Zero Code
A deep dive into ByteDance's Coze platform: zero-code AI agent development, China vs. international editions, use cases, and how non-technical users can quickly build AI applications.
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·4 min
AI Full-Stack Development Architecture: A Three-Layer Progressive Path from Prototype to Production
A detailed guide to AI full-stack development architecture covering Node.js+TypeScript+Monorepo engineering, Docker CI/CD deployment, and AI engine design with interview tips.
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·4 min
Complete Guide to Commercial AI Agent Development: From Requirements Analysis to Production Deployment
Complete guide to commercial AI agent development from scratch, covering requirements analysis, architecture design (ReAct framework, deep search, intent recognition), hands-on Coze platform implementation, workflow creation, and production deployment.
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·3 min
A Three-Month Roadmap to LLM Development: A Deep Dive into the Learning Path from Zero to Freelancing
A deep dive into the three-step LLM development learning path: from prompt engineering and RAG knowledge bases to AI Agent development, with realistic timelines for beginners and experienced developers.
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