Deploying an AI coding assistant in a regulated, sovereign, or source-sensitive environment, often comes with challenges. Three common issues are: the source cannot leave the network, the assistant occasionally invents package names that introduce supply-chain risk, and there is no audit trail when a generated change ships a defect.

This tutorial walks you through how to self-host a validated coding assistant on NVIDIA infrastructure that solves all three of these issues. By the end, you’ll have a StarCoder2-7B NIM endpoint serving code completions from your own GPUs, an NVIDIA NeMo Guardrails policy in front of it that refuses requests for files you mark as human-only, a CI verification stage that catches hallucinated packages before review, commit-level traceability, and a minimal metrics loop that tells you whether AI-assisted patches are improving or hurting your defect rate.

Tutorial prerequisites and notes

To follow along with the tutorial, you’ll need:

An NGC API key

A supported NVIDIA GPU with…