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We no longer use LangChain for building our AI agents
When abstractions do more harm than good - lessons learned using LangChain in production and what we should’ve done instead
This inevitably leads to comprehending huge stack traces and debugging internal framework code you didn’t write instead of implementing new features. A building blocks approach prefers simple low-level code with carefully selected external packages, keeping your architecture lean so developers can devote their attention to the problem they’re trying to solve. In this post I’ll share our struggles with LangChain and why replacing its rigid high-level abstractions with modular building blocks simplified our code base and made our team happier and more productive.
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