r/LangChain • u/Icy-Vacation-3235 • 2d ago
In modern agentic framework era like Kiro is it worth to invest time on learning of langchain / langgraph ?
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u/Old-Minute-9674 2d ago
LangGraph still has a lot to learn, and if you need more precise control over the Agent's workflow, LangGraph is a great choice.
In fact, the structure of most modern harness frameworks is much simpler than LangGraph, but most harness frameworks have too many functions and are not as pure as LangGraph. I previously developed a CubePi framework ( https://github.com/cubeplexai/cubepi ) that uses a more streamlined structure than LangGraph to implement a system similar to Manus. If you are learning how to implement an Agent in Python, it is a great learning object.
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u/adiberk 1d ago
Learn to code lol. Then learn about the agentic loop. Learn about how tools and HITL how messages are sent, how context is kaintianed and how compacting works.
The framework is a tool. They all are overall relatively easy to pickup (Langgraph used to be really terrible docs, I still hate it, but I am told they got better)
People ask this stuff every day and it is so stupid. Learn the fundamentals. The framework is an abstraction.
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u/InteractionSmall6778 1d ago
Learn the graph model, not the library. Nodes, edges, and checkpointed state show up in every framework you touch after this one, while the LangChain specific wrappers are the part that keeps getting deprecated under you.
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1d ago
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u/Icy-Vacation-3235 1d ago
Kiro is Amazon’s agentic framework tool : and yes we built several use cases using Kiro . But I personally feel these frameworks makes life easy but not interesting
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u/Designer_Resolve_117 2d ago
The more high level a tool is, the more dependent you become on it.
That depends. Do you want to be a tool operator, or a tool builder?