As AI coding assistants become essential, concerns about data privacy and recurring costs drive interest in self-hosted alternatives. MonkeyCode offers a solution that can be deployed within your infrastructure. This guide walks through the key steps: containerizing the application using Docker, setting up remote access via VPN or reverse proxy, and integrating with local large language models (LLMs) like Llama or CodeLlama. The setup enables teams to maintain full control over their codebase while benefiting from AI-assisted development. Compared to cloud services, self-hosting eliminates per-seat pricing and ensures sensitive code never leaves the network. However, it requires GPU resources and ongoing maintenance. For teams with existing Kubernetes clusters, deployment can be streamlined using Helm charts. This approach is particularly valuable for enterprises in regulated industries or those with strict data governance policies.
A practical guide to deploying MonkeyCode, a self-hosted AI coding assistant, for team collaboration with privacy and cost benefits.