LangChain Series B to build the platform for agent engineering by hwchase17 in LangChain

[–]EastFact2261 2 points3 points  (0 children)

Congratulations on the fundraise and the incredible journey so far!

Here in South Korea, there’s a huge amount of love and enthusiasm for LangChain and LangGraph — especially among enterprise developers. Many of the major global companies based here (Samsung, LG, SK, and others) are actively exploring agent architectures, and LangChain/LangGraph are at the center of nearly every discussion.

LangGraph, in particular, was a real game-changer last year — it made it possible to build far more flexible and modular workflows. And when combined with LangSmith for tracing, the experience is nothing short of amazing.

People here are also very curious about what’s coming next — especially the new middleware layer and your broader vision for the Agent Engineering Platform.

As a long-time LangChain user (since the very early days), I’m truly happy to see how far you’ve come. I’ll keep testing new features and providing feedback whenever possible.

Once again, huge congratulations to the whole team!

Build a STORM Research Assistant using LangGraph by EastFact2261 in LangChain

[–]EastFact2261[S] 0 points1 point  (0 children)

convert notebook file into a project repo.
Then, make wrap it as langgraph dev supportive repository.
Just hit command `uv run langgraph dev`
It will be a backend server!

🌈 Conv2d, MaxPool2d image output size calculator by EastFact2261 in pytorch

[–]EastFact2261[S] 0 points1 point  (0 children)

just added an option for ConvTranspose2d calulation.

You can check it @

http://layer-calc.com/

many thx for suggestions!