150 related articles

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.

Step-by-step guide to deploying Dify locally: Docker setup, Docker Compose installation, source code configuration, .env file setup, and container startup for Windows, macOS, and Linux.

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.

A complete guide to Dify local deployment: from Docker environment setup, source code pulling, and container startup to first access. Build a private AI app development platform across Linux, Windows, and Mac for fast enterprise AI deployment.

FDE (Forward Deployed Engineer) is the hottest emerging role in the AI deployment wave, combining a technical CTO, full-stack AI engineer, and business consultant. Learn the two FDE tracks, core skills, and how to transition into one.

Behind every hackathon lies a deeper story about AI innovation ecosystems. This article examines why hackathons are surging in the generative AI era, their core value, and key lessons for AI developers and founders.

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.

A detailed guide to Dify, the open-source LLM app development platform, covering its core features and full local deployment via VMware + Ubuntu + aaPanel + Docker. Supports 100+ models like DeepSeek and ChatGPT to build enterprise AI apps fast.

A systematic guide to Dify's three deployment methods (Docker/source/online), five application types, and hands-on workflow nodes—covering LLM integration, MySQL config, and app publishing.

An in-depth analysis of LangGraph's core concepts: short-term and long-term storage mechanisms, its differences from LangChain, the MIT open-source license, and private deployment solutions for enterprise Agent development.

Today's AI headlines: Cursor acquired for $60B in all-stock deal; Zhipu GLM-5.2 open-sourced under MIT; DeepSeek raises $7B+ at $50B valuation; Anthropic reports 27% Agent coding value growth in 7 months.

Build a content creator competitor radar with Vibe Coding in 3 hours: auto-fetch videos, local FunASR transcription, structured viral video analysis, and Feishu dashboard sync.

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.

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.

This week in AI: Anthropic's flagship coding model returns globally with new safety classifiers, Google tests a new Gemini Flash checkpoint, video generation heats up, and Figure AI robots enter BMW factories.
OpenAI Research: How AI Agents Are Res…
OpenAI research reveals AI agents are evolving from chat assistants into autonomous "digital workers," driving productivity gains across technical and non-technical roles alike.

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.

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.

Deep dive into OpenAI Codex's evolution from coding agent to all-in-one AI workstation, covering computer use, visual annotations, memory, CodexSites deployment, and more.

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