This blog post provides a detailed guide on how to run Claude Code locally using vLLM and OpenShift AI. It discusses the benefits of self-hosting AI coding tools to ensure privacy and operational independence while avoiding external dependencies that can hinder development due to rate limits or outages. Step-by-step instructions for platform selection, model deployment, and connecting Claude Code to the local model are provided, making it accessible for developers looking to enhance their coding workflows.