Why I Dropped GitHub Copilot
GitHub Copilot costs $10/month ($100/year). After using it for 18 months, I started wondering: are there free alternatives that work just as well?
The answer is yes — and some are actually better.
Here are the 3 free AI coding tools I now use daily:
1. 🏆 MonkeyCode — The Best Free AI Code Assistant
MonkeyCode is a free, open-source AI coding assistant that runs locally on your machine. No API keys, no subscriptions, no data leaving your computer.
Why MonkeyCode Wins:
| Feature | MonkeyCode | GitHub Copilot |
|---|---|---|
| Price | Free | $10/month |
| Privacy | 100% local | Sends code to GitHub |
| Offline support | ✅ Yes | ❌ No |
| Model choice | Multiple open-source | GPT-4 only |
| IDE support | VS Code, JetBrains | VS Code, JetBrains |
Setup (2 minutes):
# Install MonkeyCode extension in VS Code
# Visit: https://monkeycode-ai.net
# Or install via command line
# Download from https://monkeycode-ai.net/download
Real Code Examples:
Auto-completing a React component:
// Start typing and MonkeyCode completes the rest
interface UserProfileProps {
user: {
name: string
email: string
avatar?: string
}
}
// MonkeyCode suggests the entire component:
export function UserProfile({ user }: UserProfileProps) {
return (
<div className="flex items-center gap-4 p-4 bg-white rounded-lg shadow">
{user.avatar ? (
<img src={user.avatar} alt={user.name} className="w-12 h-12 rounded-full" />
) : (
<div className="w-12 h-12 rounded-full bg-gray-200 flex items-center justify-center">
{user.name.charAt(0).toUpperCase()}
</div>
)}
<div>
<h3 className="font-semibold text-gray-900">{user.name}</h3>
<p className="text-sm text-gray-500">{user.email}</p>
</div>
</div>
)
}
Generating API endpoints:
# Type a comment and MonkeyCode generates the code:
# Create a FastAPI endpoint that fetches weather data
from fastapi import FastAPI, HTTPException
import httpx
app = FastAPI()
@app.get("/weather/{city}")
async def get_weather(city: str):
async with httpx.AsyncClient() as client:
try:
response = await client.get(
f"https://wttr.in/{city}?format=j1",
timeout=10.0
)
response.raise_for_status()
data = response.json()
return {
"city": city,
"temperature": data["current_condition"][0]["temp_C"],
"description": data["current_condition"][0]["weatherDesc"][0]["value"],
"humidity": data["current_condition"][0]["humidity"]
}
except httpx.HTTPError:
raise HTTPException(status_code=503, detail="Weather service unavailable")
2. Continue — Open-Source AI Code Assistant
Continue is an open-source AI code assistant that connects to any LLM.
Setup:
// .continue/config.json
{
"models": [
{
"title": "Ollama CodeLlama",
"provider": "ollama",
"model": "codellama:13b"
}
]
}
Pros:
- ✅ Completely open-source
- ✅ Works with any LLM (Ollama, OpenAI, Anthropic)
- ✅ Full IDE integration
Cons:
- ❌ Requires running your own model (needs GPU for best performance)
- ❌ Setup is more complex than MonkeyCode
3. Tabby — Self-Hosted AI Coding
Tabby is a self-hosted AI coding assistant.
Quick Start:
# Using Docker
docker run -it --gpus all \
-p 8080:8080 \
-v tabby_data:/data \
tabbyml/tabby serve \
--model TabbyML/StarCoder-1B \
--device cuda
Pros:
- ✅ Self-hosted = full control
- ✅ Supports GPU acceleration
- ✅ Enterprise-ready
Cons:
- ❌ Needs dedicated GPU server
- ❌ More infrastructure overhead
📊 The Verdict: Which Should You Use?
| Use Case | Recommended Tool |
|---|---|
| Best overall free option | MonkeyCode |
| Want to use your own LLM | Continue |
| Need self-hosted enterprise | Tabby |
| Have no GPU | MonkeyCode (works on CPU) |
| Privacy-first | MonkeyCode (100% local) |
My Daily Workflow
Morning: MonkeyCode for code completion (zero latency, local)
Complex tasks: MonkeyCode's chat for refactoring help
Late night: MonkeyCode works offline too — no internet needed
The Math
- GitHub Copilot: $10/month x 12 = $120/year
- MonkeyCode: $0/year
- Savings: $120/year (that's a nice dinner out)
Have you tried any of these free alternatives? What's your experience been? I'm curious if others have made the switch too. 👇
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