#Dify workflows
1380 related articles
·4 min
8 Dify Workflows That Transform Test Engineer Productivity
8 Dify AI workflows help test engineers compress test case generation, script writing, and performance reports from 2.5 days to 1.5 hours.
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·3 min
Ballet: Codifying AI Workflows to Deliver Deterministic Results Every Time
Ballet converts natural language workflows into deterministic code execution, with audit logs, one-click rollback, simulation mode, and enterprise features to solve AI Agent reliability challenges.
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·2 min
Deep Dive into the OpenClaw Multi-Agent Framework: From Dify Workflows to Autonomous AI Execution
An in-depth analysis of the OpenClaw multi-agent framework: its TypeScript single-process gateway design, inter-agent scheduling, advantages over Dify workflows, and the three evolutions of AI execution.
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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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·2 min
Three Flow Control Nodes in Dify Workflows: Question Classifier, Conditional Branch, and Human-in-the-Loop Explained
An in-depth look at three core flow control nodes in Dify workflows: the Question Classifier for intelligent LLM-based routing, the Conditional Branch for precise if-else logic, and Human-in-the-Loop for high-risk confirmation checkpoints.
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·4 min
Dify Getting Started: A Complete Guide to Building AI Workflows Without Code
A complete guide to Dify's core features and 1.8.0 deployment. Covers 5 app types, Docker setup, Workflow vs Chatflow differences, and RAG knowledge bases for beginners.
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·7 min
Dify Enterprise System Integration in Practice: Building a Project Management AI Copilot with Workflows
Using a project management system as an example, this article details how to use the Dify low-code platform to achieve AI-powered integration of enterprise internal systems through interface capture and workflow orchestration.
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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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·2 min
Dify + MCP in Practice: Building Enterprise-Grade Role-Specific AI Copilot Workflows
A hands-on guide to building enterprise AI copilot workflows using Dify and MCP. Covers tool integration, parameter passing, code execution, and MCP version compatibility pitfalls.
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·3 min
The Complete Guide to Building Dify Workflows: A Hands-On Guide to No-Code AI Applications
Complete guide to Dify's five app types, Docker deployment for v1.8.0, and workflow building. Compare Dify vs Coze and learn to build enterprise AI apps with no code.
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·3 min
Beyond Vibe Coding: A Practical Guide to Enterprise-Level AI Programming
Go beyond Vibe Coding with enterprise AI programming: Claude Code, Codex tool selection, SuperPower plugin, and SDD workflows for production-ready projects.
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·3 min
The Five-Step AI Coding Method: Mastering Agents Like an Engineer
Matt Pocock's AI coding methodology: a five-step delivery system (Interrogate, Spec, Tickets, Implement, Review) with context management techniques to master any AI coding agent.
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·4 min
The Complete Guide to Claude Code Hooks: How the Automation Mechanism Works and Practical Configuration
Deep dive into Claude Code Hooks' three-layer architecture (Event, Matcher, Handler), covering 10 core Events, 5 Handler types, with practical examples for sensitive data checks and AI-writing detection.
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·4 min
Qwen3 27B + DeepSeek Harness Real-World Testing: Local Open-Source Agent Performance Evaluation
Real-world testing of Qwen3 27B with DeepSeek Harness agent framework: deployment setup, visual understanding, reasoning intensity comparison, and token consumption data across multimodal tasks.
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·3 min
Cursor Turning from IDE into a Chatbot? Why Developers Miss the Old Experience
Cursor is shifting from an AI-enhanced code editor toward conversational Agent mode, sparking developer backlash. We analyze why more powerful AI may sacrifice the IDE experience developers loved.
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·3 min
Getting Started with Codex and Claude Code: A Beginner's Guide to AI Coding Agents
A detailed guide to Codex and Claude Code AI coding agents: core differences, target users, and beginner learning paths. From concepts to environment setup for zero-experience users.
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·3 min
Deep Dive into DeepSeek Harness: A Customizable AI Engine for Test Engineers
Deep analysis of DeepSeek Harness engine's plugin mechanism and Skill system, exploring how engineering governance solves AI test output management challenges.
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·2 min
DeepSeek Harness rc.8 Released: Major Upgrades to Multimodal Image Understanding and Sub-Agent System
DeepSeek Harness rc.8 brings multimodal image processing, on-demand sub-agents, Windows terminal persistence, and SQLite optimization. The open-source Agent framework with 170K+ GitHub stars iterates at remarkable speed.
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·3 min
DeepSeek Harness Deep Dive: The 'Everything Is a Plugin' Paradigm for AI Programming
DeepSeek's open-source Harness framework, built on Cordis Kernel, uses an 'everything is a plugin' design for ultimate customization. Supports multi-model integration, built-in traceability, and Creator mode self-extension.
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·2 min
Shape: A Deep Dive into the Agentic IDE That Unifies Design and Code
Shape is an agentic IDE for designers and programmers, unifying design, coding, Git, and AI chat in one desktop app. A deep dive into its features, positioning, and challenges.
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