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Building LLM apps usually means rebuilding the same things over and over again: prompts, RAG pipelines, workflows, tool calls, APIs, all that fun stuff. In this video, we take a clear look at Dify. What it is, what it does, where it fits in the LLM stack, and when it actually makes sense to use it. 🔗 Relevant Links Dify - https://dify.ai/ Dify repo - https://github.com/langgenius/dify LangChain Docs - https://docs.langchain.com/ n8n docs - https://docs.n8n.io/ ❤️ More about us Radically better observability stack: https://betterstack.com/ Written tutorials: https://betterstack.com/community/ Example projects: https://github.com/BetterStackHQ 📱 Socials Twitter:   / betterstackhq   Instagram:   / betterstackhq   TikTok:   / betterstack   LinkedIn:   / betterstack   📌 Chapters: 0:00 Is Dify Worth Your Time as a Dev? 0:30 What Dify Actually Does (Quick Overview) 1:45 Dify vs LangChain & n8n (Key Differences) 2:56 Setup LLM API Key on Dify 3:28 Live Demo: Building a Simple RAG Bot 4:55 Pros & Cons of Dify (Honest Breakdown) 5:27 Who is this for? 5:45 Final Thoughts: When Dify Makes Sense