--- title: How Remote uses LangChain and LangGraph to onboard... description: Remote built a Code Execution Agent using LangChain and LangGraph to automate customer data migrations during onboarding. The system separates LLM reasoning... canonical: https://daily.dev/posts/flokjg8jz twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: How Remote uses LangChain and LangGraph to onboard thousands of customers with AI | daily.dev og:description: Remote built a Code Execution Agent using LangChain and LangGraph to automate customer data migrations during onboarding. The system separates LLM reasoning... og:url: https://daily.dev/posts/flokjg8jz og:image: https://api.daily.dev/og/posts/fLoKjg8jZ.png og:image:alt: Post cover image og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # How Remote uses LangChain and LangGraph to onboard thousands of customers with AI **[Boss Up Your Python](https://daily.dev/sources/bossupyourpython)** · [@dash15tonon](https://daily.dev/dash15tonon) · 1 upvotes · 0 comments ## Summary Remote built a Code Execution Agent using LangChain and LangGraph to automate customer data migrations during onboarding. The system separates LLM reasoning from code execution: models decide what transformations to perform, while Python code in a WebAssembly sandbox handles actual data processing. This hybrid approach bypasses context window limitations and hallucination risks by keeping large datasets outside the LLM's context. The agent transforms diverse HR and payroll data formats (CSV, Excel, SQL exports) into standardized JSON schemas, reducing migration time from days to hours while maintaining accuracy and auditability for compliance-critical operations. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Deep Agents v0.5](https://daily.dev/posts/deep-agents-v0-5-x8sraelyt) · LangChain · 1 upvotes · 0 comments - [How I Built an Agentic AI Research Assistant Using LangGraph and Large Language Models](https://daily.dev/posts/how-i-built-an-agentic-ai-research-assistant-using-langgraph-and-large-language-models-dg5wempfs) · Medium · 0 upvotes · 0 comments - [How to Use LangChain and LangGraph: A Beginner’s Guide to AI Workflows](https://daily.dev/posts/how-to-use-langchain-and-langgraph-a-beginner-s-guide-to-ai-workflows-af4n4h2rh) · freeCodeCamp · 5 upvotes · 0 comments --- Tags: [#ai](https://daily.dev/tags/ai), [#python](https://daily.dev/tags/python), [#llm](https://daily.dev/tags/llm), [#data-engineering](https://daily.dev/tags/data-engineering), [#langchain](https://daily.dev/tags/langchain) [View this post on daily.dev](https://daily.dev/posts/flokjg8jz) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"DiscussionForumPosting","mainEntityOfPage":"https://daily.dev/posts/flokjg8jz","headline":"How Remote uses LangChain and LangGraph to onboard thousands of customers with AI","text":"Shared: How Remote uses LangChain and LangGraph to onboard thousands of customers with AI","url":"https://daily.dev/posts/flokjg8jz","datePublished":"2026-01-31T11:14:57.242Z","dateModified":"2026-01-31T11:14:57.244Z","author":{"@type":"Person","name":"David15tonon","url":"https://daily.dev/dash15tonon","image":"https://media.daily.dev/image/upload/s--ODg7gW3B--/f_auto/v1779805078/avatars/avatar_I7Oy0mpyXs8dOSJPf3bPC?_a=BAMAMiWQ0","description":" ∞ \nAI Engineer\n#Son of GOD #Jesus","interactionStatistic":{"@type":"InteractionCounter","interactionType":{"@type":"EndorseAction"},"userInteractionCount":3740}},"image":"https://media.daily.dev/image/upload/s--OHB84bZF--/f_auto/v1722860399/public/Placeholder%2010","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":1},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"sharedContent":{"@type":"WebPage","url":"https://api.daily.dev/r/LVS7zKWbX"},"isPartOf":{"@type":"WebPage","url":"https://daily.dev/squads/bossupyourpython","name":"Boss Up Your Python"}} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Boss Up Your Python","item":"https://daily.dev/squads/bossupyourpython"},{"@type":"ListItem","position":3,"name":"How Remote uses LangChain and LangGraph to onboard thousands of customers with AI"}]} ```