How Remote uses LangChain and LangGraph to onboard thousands of customers with AI

The global employment platform Remote built a Code Execution Agent using LangChain and LangGraph to automate complex customer data migrations for onboarding. This system overcomes LLM limitations like context windows and hallucinations by using the model for reasoning and planning while offloading the actual data processing to Python code running in a sandbox. LangChain provides the tool-calling framework, and LangGraph orchestrates the multi-step process as a recoverable, stateful graph. This hybrid approach has turned a manual, days-long process into a reliable, auditable, and automated workflow that completes in hours.