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Reflections on Three Years of Building LangChain

Harrison Chase looks back on three years of LangChain, from an 800-line side project in fall 2022 to a company announcing a $125 million round at a $1.25 billion valuation. He walks through LangSmith, LangGraph and the langchain 1.0 rewrite, including how the team responded to criticism of the original package.

Read the original on langchain.com ↗

We link to the original and never republish it. All credit to Harrison Chase.

Key takeaways

  1. LangChain began as a side project built from patterns Chase saw people using at meetups, and he says he had no idea how big LLMs would become.
  2. Chase says LangSmith was built as a separate product, neutral to any LLM or framework, so it could be best-in-class even for developers who never used langchain.
  3. Negative feedback in summer 2023 included fixable issues like breaking changes, hidden prompts and outdated docs, plus a harder one: people wanted more control. Chase says easy high-level interfaces got in the way of customizing for production.
  4. Chase says that criticism led to LangGraph, built around controllability (no hidden prompts or context engineering) and a first-party production runtime with streaming, statefulness, human-in-the-loop and durable execution.
  5. When rebuilding langchain for 1.0, the team accepted large breaking changes but kept 0.x alive as langchain-classic with extended support.

Who it's for

Founders building developer tools or open source projects who want to see how one team turned a side project into a company and reworked its product after user criticism.

Why it's worth your time

It is a candid account of how Chase handled harsh feedback and product rebuilds, and the lessons about control versus ease of use hold up beyond AI.

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