#no-code AI workflow
211 related articles
·7 min
A Complete Guide to LangGraph's Core Concepts: The Framework of Choice for Enterprise Agent Development
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.
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·4 min
AI Daily Briefing: $60B Cursor Acquisition, GLM-5.2 Open-Sourced, DeepSeek's $7B+ Funding Round
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.
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·3 min
Vibe Coding in 3 Hours: Building a Content Creator Competitor Radar That Auto-Analyzes Viral Videos
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.
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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
Meituan CatPaw Hands-On Review: Is the Free GLM-5.2 Coding Tool Worth It?
Hands-on review of Meituan's CatPaw AI coding tool: free GLM-5.2 access, 500-point quota, real network error issues, and comparison with Cursor and CodeBuddy.
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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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·4 min
AI Weekly: Top Coding Model Returns, Google's New Flash Checkpoint, and the Video Generation Race
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.
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OpenAI Research: How AI Agents Are Res…
·2 min
OpenAI Research: How AI Agents Are Reshaping Work and Productivity
OpenAI research reveals AI agents are evolving from chat assistants into autonomous "digital workers," driving productivity gains across technical and non-technical roles alike.
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Industry Insights·3 min
OpenAI's Internal Codex Usage Surges 56x — AI Coding Is Eating Everything
OpenAI reveals internal Codex usage data: Research up 56x, Customer Support 32x, Engineering 27x, Legal 13x since Nov 2025. AI coding tools are penetrating every department faster than expected.
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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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·3 min
Deep Dive into Codex Record and Replay: Generate Automation Skills Just by Screen Recording
Deep dive into OpenAI Codex's Record and Replay feature: generate reusable automation Skills through screen recording demos. Covers workflow, skill invocation, RPA comparison, and real-world use cases.
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·3 min
The Complete Evolution of Codex: From Coding Tool to All-in-One AI Workstation
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.
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·3 min
How Is Codex Different from ChatGPT? Breaking Down the Core Differences of the AI Coding Agent
Compare OpenAI Codex vs ChatGPT: ChatGPT handles Q&A while Codex acts as an AI coding agent that autonomously writes code, fixes bugs, and runs tests.
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·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.
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·2 min
Deep Dive into n8n Workflow Platform: Core Capabilities and Suitability Assessment for China
Deep dive into n8n's core capabilities including 500+ nodes, AI Agent building, and RAG integration, with an objective analysis of its limitations and suitability for use in China.
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·3 min
How Much Math Do AI Practitioners Really Need? A Deep Dive into Three Role Types
How much math do AI/ML practitioners really need? This article breaks down three roles — Users, Developers, and Researchers — and analyzes the math requirements for each to help you plan your learning path.
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·4 min
How to Choose Among 10 AI Tools? A Practical Guide Organized by Use Case
A detailed guide to choosing among ChatGPT, Gemini, Claude, Perplexity, NotebookLM and other AI tools by use case, helping you decide which tool fits each task in seconds.
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·3 min
Claude Cowork vs Codex: An In-Depth Multi-Dimensional Comparison
In-depth comparison of Claude Cowork and OpenAI Codex across UI, integrations, automation, design, and pricing to help you choose the best AI Agent tool.
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·3 min
Trae IDE in Practice: Building a Student Management System from Scratch with AI Conversational Programming
A detailed walkthrough of using ByteDance's Trae IDE to build a student management system from scratch through hand-drawn prototypes and AI conversation, covering page generation and code analysis.
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·3 min
Build an App in 30 Minutes with Zero Code: A Complete Hands-On Walkthrough Using the AI Tool Tusi
Build a fully installable mobile app in 30 minutes with zero code using AI tool Tusi. A complete walkthrough from requirements to finished product, showing how AI shifts app development from coding skills to clear communication.
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