Last month I cancelled my GitHub Copilot subscription. Not because it was bad — it was great. But I was paying $10/month to send every line of my proprietary code to Microsoft's servers, and I finally asked myself: why?
So I spent a weekend building a completely local AI coding stack. Total cost: $0/month. My code has not left my machine since.
The stack (all free, all open source)
| Component | Tool | Replaces | Cost |
|---|---|---|---|
| Inference engine | Ollama | OpenAI API | $0 |
| IDE autocomplete | Continue.dev | Copilot autocomplete | $0 |
| Self-hosted copilot server | Tabby | Copilot backend | $0 |
Setup (15 minutes, seriously)
# 1. Ollama — runs the model locally
curl -fsSL https://ollama.com/install.sh | sh
ollama pull qwen2.5-coder:7b # 4.7GB, best code model under 8B
# 2. Continue — VS Code / JetBrains extension
# Install "Continue" from marketplace, then point it at Ollama:
# ~/.continue/config.json
{
"models": [{
"title": "Qwen Coder (local)",
"provider": "ollama",
"model": "qwen2.5-coder:7b"
}]
}
# 3. Tabby — optional, gives you the Copilot-style inline ghost text
docker run -it --gpus all -p 8080:8080 \
tabbyml/tabby serve --model TabbyML/Qwen2.5-Coder-7B
The numbers after 30 days
| Metric | Copilot | Local stack |
|---|---|---|
| Monthly cost | $10 | $0 |
| Tab-completion latency | ~300ms | ~180ms (local!) |
| Acceptance rate | ~30% | ~25% |
| Code leaves my laptop | Yes | No |
| Works on a plane | No | Yes |
Honest take: acceptance rate is a bit lower — Qwen2.5-Coder-7B is not GPT-4o. But for boilerplate, tests, and refactors (90% of what autocomplete actually does), it's indistinguishable. For the hard 10%, I open a chat window.
The privacy win is the real story. My client contracts have strict no-external-AI clauses. Before, I was technically violating them every time I hit Tab. Now I'm not.
One more thing
If you don't want to self-host and just want a free AI coding tool that works out of the box, I've also been testing MonkeyCode — it's a free AI coding assistant with no subscription: https://ly.cyberserval.tech/iIETXiF
Would you trade 5% accuracy for total code privacy? Or is cloud AI worth the risk for you?
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