#low-code AI agent
204 related articles
·3 min
Practical Guide to Agent Development: The Complete Path from Zero to Commercial Deployment
A systematic guide to AI Agent development from beginner to deployment, covering task planning, tool calling, memory management, learning paths, and realistic commercial monetization considerations.
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·5 min
Learn AI Agent Development from Scratch: A 3-Step Practical Path to Get Started Quickly
How to learn AI Agent development from scratch? This article outlines a clear 3-step path: Python crash course, LLM theory & practice, and LangChain framework project implementation.
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·3 min
OpenAI Academy's European Tour: How SMEs Can Break Through with AI
OpenAI Academy visits six European nations with its SME AI Accelerator and multilingual workshops, helping small businesses overcome AI adoption barriers through real-world training and hands-on use.
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·3 min
A Beginner's Guide to AI Agents: Two Learning Paths for Developers and Practitioners
How to learn AI Agents from scratch? This guide covers two clear paths: developers go from Python to LLMs to open-source framework source code; practitioners use Claude Code or similar tools to get results fast.
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·2 min
Zero-Code Guide to Coze: A Complete Beginner's Guide to AI Agent Development
A detailed guide to ByteDance's Coze platform covering agent building, workflow orchestration, and knowledge base management to help beginners start AI app development with zero coding.
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·3 min
After 6 Billion Tokens, Here's What I've Learned About AI Agents
A power user who consumed over 6 billion Tokens shares real insights on AI Agents, exploring spending money, investing time, and managing life changes with AI.
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·3 min
After 6 Billion Tokens, Here's What I've Learned About AI Agents
A power user who consumed over 6 billion Tokens shares hard-won insights on AI Agents: the real costs, the time investment, and maintaining healthy boundaries.
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·3 min
Unified Prompt Management, Evaluation & Observability: A Comprehensive Comparison of LangSmith and Other Leading Platforms
In-depth comparison of LangSmith, Langfuse, PromptLayer, Helicone, and Orq.ai across Prompt management, Evals, and observability to help teams choose the best unified LLM Ops platform.
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·4 min
The Truly Scarce Skills of the AI Era: Why Focus and Execution Are the New Moat
When AI tools let everyone code and design, where is your edge? A deep analysis of why focus and execution are the scarcest superpowers in the AI era.
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·3 min
A Practical Guide for Java Developers Transitioning to AI Application Development
Facing the AI wave, how can Java developers transition from traditional CRUD backend work to AI application development? This article breaks down the AI+ national strategy, China's AI catch-up logic, and offers a practical path.
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·3 min
Coze Agent Development in Practice: From Beginner to Multi-Agent Collaboration
Coze is ByteDance's homegrown agent-building platform. This article covers getting started with Coze, its comparison with Dify, skill system, workflow orchestration, and multi-agent collaboration.
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·3 min
Building AI Agents with Coze: From Beginner to Multi-Agent Collaboration
Coze is ByteDance's homegrown agent-building platform. This article explains getting started with Coze, comparison with Dify, its skill system, workflow orchestration, and multi-agent collaboration.
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·2 min
Becoming a Computer Whiz: The Three-Stage Training Method from Beginner to Breakthrough
Why do some still feel lost after 4 years of coding? Break down the three-stage computer learning method: build fundamentals, pick a direction, learn by doing.
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·2 min
Getting Started with Dify: A Complete Guide to the Open-Source Enterprise AI Application Platform
A complete guide to Dify, the open-source AI application platform: its core positioning, key differences from Coze, workflow-building capabilities, and enterprise private deployment advantages.
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·2 min
Can One Skill Transform All Skills? The Boundary Debate Between Dify Workflows and Agents
A recursive technical proposition: Can we build a "meta-Skill" that auto-transforms any Skill into a Dify workflow? This article dissects the boundary between deterministic orchestration and autonomous Agent decisions.
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·4 min
Dify Local Deployment Guide: One-Click Private AI Platform with Docker
Step-by-step guide to deploying Dify AI platform locally with Docker. Covers Linux, Windows, macOS setup, docker compose launch, and first-time initialization in under 30 minutes.
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·8 min
LangChain Crash Course: A Complete Roadmap from Zero to Agent Development
A systematic roadmap from LangChain and LangGraph to multi-agent development, covering RAG, Tool Calling, MCP, and more, helping developers break into AI app development.
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·3 min
Dify Getting Started Guide: A Complete Walkthrough of Low-Code AI App Development
Dify is a low-code AI app platform supporting chatbots, Agents, and workflows. Compatible with DeepSeek, ChatGPT, and more. Learn cloud and local deployment options.
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·2 min
Dify + RAG in Practice: Building a Game-Specific AI Assistant from Scratch
Build a RAG knowledge base from scratch using Dify's low-code platform. A hands-on Delta Force game assistant case study covering agents, knowledge base setup, and private deployment.
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·3 min
Dify 1.8 Complete Beginner's Guide: Build 20+ AI Apps Fast
A complete Dify 1.8 guide covering 3 deployment methods (Docker/cloud/source), MySQL integration, 5 app types (Chatbot/Agent/Workflow), model selection, and publishing strategies.
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