#no-code AI agents
106 related articles
·2 min
AI-Native Development in Practice: Building an Enterprise Management System in 30 Minutes Without Writing a Single Line of Code
Can a non-coder build an enterprise management system in 30 minutes? We tested XDevelop, an AI-native dev tool, to see how natural language turns into a fully running app.
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·2 min
Vibe Coding: The Full-Stack AI Development Methodology for the Solo Founder Era
Vibe Coding is reshaping software development — use natural language to direct AI through code, design, testing, and marketing. A guide for solo founders and indie developers.
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·3 min
AI Agents Are Reshaping Software Testing: A Practical Guide from Cursor to LangChain
A deep dive into AI-powered testing: Cursor Skills, Coze agents, and LangChain multi-agent systems for automated test case generation, BDD, and review workflows.
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·2 min
Coze No-Code AI Agent Development: A Complete Guide from Getting Started to Deployment
Build AI agents without coding! This guide covers Coze's visual workflows, 60+ plugins, RAG knowledge bases, and persistent memory — plus version selection tips for beginners.
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·2 min
WorkBuddy Advanced: Develop Your Own AI Skills in 3 Steps — No Coding Required
Most people use only 10% of WorkBuddy's potential. Learn how to build custom AI Skills in 3 steps using plain language — no coding required.
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·6 min
OpenAI Merges ChatGPT and Codex: The Super App for the AI Agent Era Is Here
OpenAI merges ChatGPT and Codex into a super app and releases three new GPT-5.6 models: Sol, Terra, and Luna. A deep dive into four hands-on workflows—Computer Use, Loops, and multi-threading—for the AI agent era.
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·3 min
Local Gemma 3 12B as an AI Agent: A Practical Guide to Tool Calling and Framework Selection
Running Gemma 3 12B locally via Ollama and want to build an AI Agent? This guide covers tool calling, n8n/LangChain/CrewAI comparisons, context limits, and more.
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·3 min
AI Agent Beginner's Guide: LLMs vs. Agents, and a Full Breakdown of Development Tools
What is an AI Agent? This guide explains the key differences between LLMs and Agents, breaks down the Agent formula (LLM + Workflow + Knowledge Base), and compares tools like Dify, Coze, LangChain, and LlamaIndex.
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·3 min
Skill Pack-Driven AI Agents: An Efficient Alternative to Complex Workflows
Ditch complex workflow nodes. Use Agent Skill packs to dynamically load AI capabilities, build stable intelligent automation, and understand RAG, LLM limits, and Scale Agent plugin setup.
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·3 min
Getting Started with AI Agent Development: A Three-Step Practical Path with Python + LangChain
Learning AI Agent development is no longer daunting! This article outlines the simplest practical path: master just enough Python, grasp core LLM concepts, then build your first Agent with LangChain.
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·4 min
The Complete AI Agent Development Learning Path: From Zero to Enterprise-Grade Practice
A systematic AI Agent development learning path covering fundamentals, prompt engineering, tool calling, multi-agent collaboration, and hands-on practice with LangChain, CrewAI, and Dify.
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·3 min
AI Agent Builder: A Complete Hands-On Guide from Zero to Enterprise-Grade Delivery
AI Agents are becoming the core form for deploying large models. This article explores the AI Agent Builder profession, revealing the SME deployment gap and a complete path from fundamentals to delivery.
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·3 min
Getting Started with n8n: A Deep Dive into the Open-Source AI Workflow Automation Platform
A comprehensive look at n8n, the open-source workflow automation platform: core features, 500+ node ecosystem, AI Agent and RAG integration, plus a fast learning path.
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·4 min
Getting Started with Coze: Build AI Agents from Scratch
Coze is ByteDance's low-code AI Bot platform for building AI agents without coding. Learn the differences between the domestic and international versions, core feature comparisons, and monetization potential.
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·5 min
OpenAI GPT-Live Full-Duplex Voice Model: Reshaping the Human-Computer Interaction Gateway
OpenAI unveils GPT-Live, a full-duplex voice model with real-time interruption, tiered compute routing, and dynamic UI rendering—surpassing Siri and targeting the OS-level voice gateway.
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·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.
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·4 min
Complete Guide to Dify Local Deployment: Build a Private AI Workflow Platform from Scratch
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.
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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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·6 min
Dify Local Deployment in Practice: A Complete Guide to Building an AI Application Platform with Docker
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.
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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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