LangChain amplifies hands-on guide to building agent harnesses with Jev's evaluate-in-the-loop pattern
LangChain · x · 2026-09-19
LangChain boosted Sydney Runkle's article Building a Harness with Jev, calling it essential reading for anyone confused about Jev.
The core pattern: agents run in a loop—an LLM decides what to do, a tool executes, a model evaluates the results, and the loop continues until the task completes. The article walks through using Jev to build a harness around that loop, addressing why agents and LLMs were initially hard to iterate on reliably.
Related event: LangChain Publishes Tutorial on Building an Agent Harness with Jev(7 posts)→
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