#Dify
558 related articles
Deep Dives·3 min
Single-Agent vs Multi-Agent: A Three-Step Decision Framework for Choosing the Right Architecture
Based on Anthropic's engineering practices, a detailed three-step decision framework for single-agent vs multi-agent architecture: bottleneck identification, technical feasibility, and business value filtering.
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Tutorials·3 min
Complete Vibe Coding Tutorial: 15 Key Steps to Building an AI Agent from Scratch
A systematic breakdown of 15 key steps for building AI Agents with Vibe Coding, covering environment setup, product docs, frontend UI, backend APIs, databases, and deployment.
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Tutorials·3 min
Claude Agent SDK Python in Practice: Custom Tools, Multi-Turn Conversations & Hooks Security Control
A deep dive into Claude Agent SDK for Python: Query basics, custom Tools with MCP Server, CloudSdkClient multi-turn sessions, and Hooks security control with full code examples.
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Tutorials·2 min
Complete Workflow for AI First-Person Emotional Short Films: From Script to Final Cut in Four Steps
A detailed breakdown of the complete workflow for AI first-person emotional short films, covering AI script generation, text-to-video prompt construction, AI video troubleshooting, and CapCut editing with ready-to-use prompt templates and blink transition techniques.
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Industry Insights·2 min
SQLite Releases AGENTS.md: Explicitly Rejecting AI-Generated Code and Opening a Dedicated Bug Forum
SQLite adds AGENTS.md explicitly rejecting AI-generated code and opens a dedicated Bug forum to handle the flood of AI bug reports. A look at its AI governance strategy.
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Tutorials·3 min
Harness Engineering: A Practical Guide to AI Development — From Prompts to Mastering AI Agents
A deep dive into Harness Engineering's three-layer architecture: Information, Constraint, and Automation layers, covering Agent failure modes, OpenAI and Anthropic best practices, and AI tool selection strategies for controlled AI development.
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Tutorials·3 min
Godot MCP + Codex in Practice: Using AI to Auto-Generate an Endless Runner Game
Learn how to integrate Godot MCP with OpenAI Codex to control the game engine via natural language, with a full walkthrough from setup to auto-generating an endless runner scene.
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Tutorials·2 min
Complete Breakdown of Andrew Ng's LangChain Course: Five Core Components and Hands-On Guide
Deep dive into Andrew Ng and Harrison Chase's LangChain course, covering the five core components—Models, Prompts, Indexes, Chains, and Agents—to help developers master LLM app development.
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Product Reviews·2 min
Cursor vs Windsurf vs PearAI: An In-Depth Comparison of AI Code Editors
Hands-on comparison of Cursor, Windsurf, and PearAI across UI design, UX, AI coding ability, and extra features to help you pick the best AI code editor.
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Tutorials·3 min
Open-Source Multi-Agent Intelligent Diagnostic System: Deep Dive into MCP + RAG + Skill Routing Architecture
Deep dive into an open-source multi-Agent diagnostic system built on modified OneCall, featuring MCP real-time interaction, RAG-enhanced Q&A, and Skill routing to minimize Token consumption.
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Tutorials·2 min
LangGraph vs LangChain: How to Choose Your Agent Development Framework
In-depth comparison of LangGraph vs LangChain: controllability, extensibility, and FastAPI-powered performance. Covers storage, enterprise private deployment, and migration guidance for agent developers.
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Tutorials
Codex Desktop App Hands-On Tutorial: 1…
·3 min
Codex Desktop App Hands-On Tutorial: 15 Use Cases from Beginner to Advanced
A detailed guide to 15 core use cases for OpenAI's Codex desktop app, covering file management, website development & deployment, browser control, Computer Use, Skills, MCP services, and automation.
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Tutorials·3 min
Getting Started with Spring AI: How Java Developers Can Integrate Large Language Models
Spring AI is the LangChain for Java, helping Java developers integrate LLMs using Spring Boot conventions. This guide covers its 6 core features, setup requirements, and enterprise positioning including RAG, Tool Calling, and Chat Memory.
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Product Reviews·2 min
Kimi K2.6 Open-Source Hands-On: How Strong Is Its Orchestration of 300 Concurrent Agents?
Deep analysis of Moonshot AI's open-source Kimi K2.6 Agent orchestration: 300 sub-Agents executing 4000-step tasks, outperforming GPT-5.4 in coding benchmarks, LoRA fine-tuning on 2x RTX 4090s.
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Tutorials·2 min
Five Core Differences Between Claude Code and Traditional AI Chat Tools
Compare Claude Code vs traditional AI chat tools like ChatGPT across 5 dimensions: interaction, context, execution, memory, and tool invocation to decide if this AI coding assistant is right for you.
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Product Reviews·2 min
The Big Four AI Coding CLIs Compared: Claude Code vs. Copilot vs. Gemini vs. Codex — How to Choose
In-depth comparison of Claude Code, Copilot CLI, Gemini CLI, and Codex CLI — covering MCP support, context windows, open-source status, pricing, and a decision tree for choosing the right tool.
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Product Reviews·2 min
G-Rec: An Open-Source Agent Framework Built for Gemini CLI
G-Rec is an open-source agent framework built on Gemini 2.5 Pro with Windows/Chinese path support, persona systems, and skills extension, offering a free alternative to Claude Code.
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Tutorials·3 min
Agent Skills Decision Trees: Enabling Autonomous Decision-Making for AI Coding Assistants
Learn how to embed decision tree logic in Agent Skills to give AI coding assistants like Antigravity and Claude Code autonomous decision-making. Includes a Code Review Router case study with complexity scoring and failover.
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Tutorials·3 min
Complete Guide to Connecting Claude Code with DeepSeek-V4
Complete guide on connecting DeepSeek-V4 to Claude Code, covering Node.js installation, environment variable configuration, model mapping, and real-world coding tests for a near-premium AI programming experience with open-source models.
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Tutorials·3 min
Frontend Engineers Leveling Up to AI Agents: LangGraph.js Architecture Design & Practical Guide
How can frontend engineers advance into AI Agent development? This guide covers LangGraph.js core architecture (state, nodes, edges), LangChain comparison, and workflow agent design with practical examples.
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