#low-code workflow automation
137 related articles
·6 min
Dify Self-Hosted Deployment in Practice: Building an Enterprise-Grade AI Application Platform from Scratch
A complete guide to self-hosting Dify, the open-source AI platform: environment setup, Docker Compose deployment, LLM integration, and app building. Runs on just 2 cores and 4GB RAM.
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·3 min
MiniMax Hub In-Depth Review: Hands-On with an All-in-One AI Creative Workstation
Hands-on review of MiniMax Hub desktop app — testing a full creative workflow from PDF brief to finished video, covering canvas editing, image tools, video generation, and the skills system.
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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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Expert Opinions·2 min
The Lazy Person's Productivity Theory: Why Being 'Lazy' Actually Drives Peak Performance
Explore the engineering philosophy behind 'lazy people are most productive': how constructive laziness drives automation, AI tools amplify efficiency, and systems thinking eliminates wasted effort.
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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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·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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·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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·2 min
Coze Agent in Practice: Building an AI Test Case Generation Workflow from Scratch
Learn how to build an AI test case generation agent on Coze, covering agent vs. LLM differences, workflow orchestration, model selection, and prompt engineering tips.
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·3 min
Forward Deployed Engineer (FDE): Breaking Down the Hot New Role AI Giants Are Fighting Over
Forward Deployed Engineers (FDEs) are the hottest new role at Google, OpenAI, and Anthropic. Learn what FDEs do, why demand is surging, and what it means for AI careers.
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·4 min
AI Agent Systematic Learning Path: From Zero to Independent Development
A systematic AI Agent learning path covering core principles, Prompt engineering, RAG, multi-Agent collaboration, and hands-on projects for beginners.
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·4 min
Claude Code + Skills: A Practical Guide to AI-Powered Test Case Generation
Learn how to use Claude Code + Skills to auto-generate enterprise-grade test cases. Covers AI Agent vs LLM differences, the four core capabilities, and the complete workflow from requirements to test cases.
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·2 min
In the Era of Incremental Model Upgrades, AI Platforms Are the Real Productivity Variable
AI model upgrades are hitting diminishing returns. The real differentiator is AI Agent platforms like Codex that restructure workflows — task orchestration, cross-device collaboration, and automation are what truly eliminate human overhead.
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·3 min
Getting Started with AI Agents: A Complete Learning Path from Zero to Production
A comprehensive guide to AI Agent architecture covering ReAct paradigm, multi-agent collaboration, RAG integration, and the planning-memory-tools framework, with a complete learning path from concepts to production deployment.
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·3 min
n8n from Beginner to Expert: A Complete Guide to Workflow Automation and AI Agent Development
A deep dive into n8n's workflow automation capabilities, covering its 500+ node ecosystem, AI Agent development, RAG system building, and practical tips for use in different regions.
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·1 min
Deep Dive into n8n Workflow Platform: Capability Boundaries and Suitability Assessment for the Chinese Market
Deep dive into n8n's core capabilities, 500+ node ecosystem, AI Agent integration, and the localization challenges it faces in China, with workarounds and suitability assessment.
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·4 min
Agent Beginner's Guide: Architecture Principles and Practical Efficiency Tips
A deep dive into AI Agent principles, core architecture, and practical applications. Learn how Agents differ from LLMs and how to leverage Agent Skills to boost productivity.
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·4 min
Coze Workflow in Practice: Complete Tutorial for AI One-Click Product Promo Video Generation
Step-by-step guide to building a Coze workflow for AI product promo videos, integrating HappyHours and Jimeng across 12 nodes with nine-grid storyboards and polling loops.
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·3 min
AI Agent Development Tutorial: A Practical Guide from Zero to One-Person Company
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.
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