LangChain CEO Harrison Chase on the infrastructure bet he got wrong

Harrison Chase (Co-Founder & CEO of LangChain) has rebuilt his product stack four times since 2022, chasing models that kept changing underneath him. In this episode of Navigators, Paul sits down with him to talk about what LangChain got right, and the one piece of infrastructure it built years too late.

Harrison admits the team underestimated how massive the demand for raw inference would become, and how big general-purpose coding agents would get. He walks through the shift from LangChain to LangGraph to DeepAgents, why sub-agents rarely work the way people expect, and why LangChain now runs its own hiring, content, and coding work through internal agents exposed in Slack.

Topics covered:

• The gateway LangChain should have built a year earlier

• Why agent capability converging on human capability changes the tools debate

• Code mode: why agents writing code beats agents using human-style tools

• Running GTM, content, and coding agents entirely inside Slack

• Why sub-agents need to own whole tasks, not small pieces

• The agent identity problem: delegated access vs. service accounts

• Why LangChain's own AI slop problem got bad enough to need a Slack emoji

  
  

Navigators is a series by Browserbase where we sit down with AI leaders navigating the future of what's happening in AI today.

Host: Paul Klein (@pk_iv), founder, Browserbase

Guest: Harrison Chase (@hwchase17), co-founder and CEO, LangChain

Browserbase: https://browserbase.com 

LangChain: https://langchain.com