Best for: developers and product teams building AI applications · Category: agent · 146,173 stars
I have been using this tool for months and these are the use cases that actually work in real life. No theoretical examples, just the things I do weekly.
Real experience with AI tools
When I first started using AI coding tools — OpenClaw and Hermes Agent — every bug sent me straight to a search engine. I'd paste error messages into Chinese AI models and get back answers that sounded right but didn't work. The suggestions kept piling up. None of them fixed the actual problem.
Then I tried Claude for debugging. The difference wasn't smarter answers — it was better logic. Chinese models would give me a single solution with no explanation. Claude walked through why the error happened, what the fix actually changed, and what I should check if the fix didn't work. That last part saved me the most time.
Chinese AI has improved a lot since then — several generations of models later, the answers are much better. But that experience taught me something: the best AI tool is the one that explains its reasoning, not the one that sounds most confident.
Common use cases
1. LLM app development — Dify is widely used for LLM app development. If you're working in agent, this is one of the most common ways people use it.
2. Agentic workflow platform — Dify is widely used for agentic workflow platform. If you're working in agent, this is one of the most common ways people use it.
3. RAG application — Dify is widely used for RAG application. If you're working in agent, this is one of the most common ways people use it.
4. Visual AI builder — Dify is widely used for visual AI builder. If you're working in agent, this is one of the most common ways people use it.
5. Production AI platform — Dify is widely used for production AI platform. If you're working in agent, this is one of the most common ways people use it.
6. No-code AI — Dify is widely used for no-code AI. If you're working in agent, this is one of the most common ways people use it.
7. Self-hosted AI — Dify is widely used for self-hosted AI. If you're working in agent, this is one of the most common ways people use it.
Example prompts that work
Copy any of these into Dify and adapt to your context:
Build a RAG chatbot with Dify
Deploy an AI agent to production
How to get the most out of Dify
Start with the highest-volume task. Pick the use case you'll do most often, and perfect that prompt first.
Build a prompt library. Save your best prompts in a doc. Reuse across team members.
Add context every time. "I'm a [role] doing [task] for [audience]" gets better results than a bare request.
Iterate, don't settle. The first response is rarely the best. Ask for 3 variations and pick.
Combine with another tool. Dify + a search/voice/image tool usually beats either alone.
What Dify is not great at
Real-time information (use a search tool for current data)
Tasks requiring deep domain expertise you don't have