#Feishu AI agents
134 related articles
·3 min
The Complete AI Agent Development Workflow: A Seven-Step Guide from Requirements Analysis to Deployment
Want to build an AI Agent but don't know where to start? This guide covers the complete seven-step workflow—from requirements analysis, platform selection, prompt engineering, data storage, and UI building to testing and deployment.
Read more →
·5 min
A Deep Dive into Cloud Coding Agents: How Users in China Can Choose Wisely
What exactly is the Cloud Coding Agent Silicon Valley is hyping? This article breaks down the core concept across three axes—where it runs, who watches, where tasks start—and gives users in China practical advice on local alternatives.
Read more →
·4 min
Why General-Purpose Agents Don't Work: How a Job Interview Reshaped One Developer's Thinking
An Agent developer's three-round interview reveals why general-purpose Agents are a dead end for startups. The path forward: vertical Agents, domain context, and iteration speed as a moat.
Read more →
·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.
Read more →
·6 min
Skill vs MCP: The Essential Difference Between Two Types of AI Agent Capabilities and How They Work Together
Skill and MCP are two core concepts for building AI Agents. Skill encapsulates task execution methodology, while MCP provides a standardized protocol for connecting external tools. This article breaks down their core differences, abstraction levels, and collaboration.
Read more →
·7 min
Harness Engineering: The Six-Layer Engineering Framework for Enterprise AI Agent Deployment
From Prompt Engineering to Harness Engineering, a deep dive into the core challenge of truly deploying AI Agents in enterprises. This article breaks down the six-layer architecture and shares real-world Hermes Agent practice.
Read more →
·5 min
6 Self-Hosted AI Agents Compared: Which One Is a Truly Self-Evolving Digital Employee?
An open-source AI Agent with 380K stars ranks only third? This comparison of 6 self-hosted AI Agents scores them on persistence, self-evolution, and data control—revealing why Generic Agent won with just 3,000 lines of code.
Read more →
·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.
Read more →
·3 min
Getting Started with Claude Code: A Guide to Terminal AI Coding Tools
A deep dive into Claude Code: the difference between Terminal and Device Agents, enterprise selection advice, and how to use Claude Code with DeepSeek in China.
Read more →
·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.
Read more →
·3 min
Build a Smart World Cup Calendar with AI Agent in 6 Minutes — Auto-Push Schedules to WeChat
Build a smart 2026 World Cup calendar with AI Agent in 6 minutes — zero code, WeChat push notifications, smart match recommendations, and post-match summaries.
Read more →
·3 min
Local AI Agent in Action: Auto-Record World Cup Highlights and Stop Staying Up to Watch Soccer
A hands-on test of the AiKanQiu Agent on Flowin AIPC: auto-schedule, record, and extract World Cup highlights locally — no more staying up all night for soccer.
Read more →
·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.
Read more →
·3 min
Hermes Agent Complete Guide: Windows WSL Deployment + WeChat Integration
Step-by-step guide to deploying Hermes Agent on Windows via WSL: covers Ubuntu setup, MiniMax model config, web UI, WeChat integration, and key pitfalls to avoid.
Read more →
·4 min
Tencent Marvis Hands-On: How Multi-Agent AI Takes Over Your Computer
Deep dive into Tencent's Marvis AI agent: multi-agent architecture, intelligent file organization, document analysis, cross-device sync, and local privacy mode explained.
Read more →
·7 min
Hermes Agent Deep Dive: An AI Agent Framework That Uses Fewer Tokens Than Open Cloud
Full comparison of Hermes Agent vs Open Cloud: lower token usage, 200+ model support, auto Skill encapsulation, WeChat/DingTalk integration. A cost-effective AI Agent alternative for long-term deployment.
Read more →
·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.
Read more →
·2 min
Codex Skill for Auto-Organizing Plug-and-Play Modules: A Practical Guide to Boosting Research Efficiency
Learn how to use OpenAI Codex Skills to auto-organize deep learning plug-and-play modules, including paper figure location, code extraction, verification, and Feishu doc integration.
Read more →
·4 min
Kimi Agent Cluster in Practice: One Person Commanding 300 AIs to Collaboratively Build a Website
Deep dive into Kimi Work Agent cluster's three collaboration architectures, with a hands-on demo of 300 AI agents building a website in parallel, covering requirements breakdown, multi-Agent coding, and auto-deployment.
Read more →
·4 min
7-Step Framework for Deploying Commercial AI Agents: From Requirements to Production
A detailed 7-step guide to building commercial AI Agents, covering requirements, platform selection (Coze/Dify/FastGPT), prompt engineering, databases, UI, testing, and deployment.
Read more →