Pushing LangSmith to new limits with Replit Agent's complex workflows

See how Replit built their agents atop LangGraph and integrated LangSmith to pinpoint issues, improve the performance of their agents, and enable human-in-the-loop workflows. Case Studies LangSmith Pushing LangSmith to new limits with Replit Agent's complex workflows The LangChain Team September 26, 2024 4 min Go back to blog Create agents Create agents Share Replit is at the forefront of AI innovation with its platform that simplifies writing, running, and collaborating on code for over 30+ million developers.

Agent or tool: LangChain
Topic: Software Development
Reported on: Blog (LangChain)
Added: 2026-11-11

Why it matters

Coding agents are moving from autocomplete to doing whole tasks: reading a codebase, making a plan and changing many files. This case is a concrete example of where that works in practice. It is one of 221 sightings filed under Software Development on Agent Sightings (number 72 by interest), and one of 25 involving LangChain.

How you could try it

Here is a reusable prompt, written by us in our own words, that captures the task. Paste it into LangChain or any similar agent and adjust the details to your situation.

I want a coding agent to plan first, work on a branch, and show me the diff before anything is merged. The tool in the source case was LangChain.

Saved

Tip: Work on a fresh branch, ask for a plan before edits, and review the diff and test results before merging.

Source

Read the original first-hand account on Blog (LangChain): https://langchain.com/blog/customers-replit. Our summary is a paraphrase; details are in the source.

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