I Tried Replacing GitHub Copilot with Local AI — Here’s What Happened (Docker + GPU)

A practical guide to running a private, GPU-accelerated coding assistant locally using Docker Desktop — no API costs, no data leaving your machine. ⏱️ Setup time: ~30–60 minutes My Story I'm a professional Django developer based in India. Like most developers, I was using cloud-based AI tools for coding assistance — paying for API credits, sending my code to third-party servers, and depending on a stable internet connection just to get a code suggestion. Then one day I was exploring Docker Desktop and noticed two new things in the sidebar — Models and MCP Toolkit . I had no idea what they were. A few hours of tinkering later, I had a fully local AI coding assistant running on my laptop: ✅ Free ✅ Private (no code leaves my machine) ✅ Works offline ✅ GPU-accelerated (~273ms response time) No GitHub Copilot subscription. No API costs. This is exactly how I built it — including all the mistakes I made along the way. ⚠️ Before We Start (Important Reality Check) Let's be honest: This is NOT