Use Qwen3 Coder as a Local VSCode Copilot
Introduction: An Open-Source Copilot in Your IDE
Why pay monthly fees for GitHub Copilot when you can use Qwen3-Coder for free?
Qwen3 Coder is an agentic, open-source code model that:
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Autocompletes code in real time
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Understands long prompts & context
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Works offline via LM Studio, GPT4All, or vLLM
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No subscriptions required
This guide shows you how to set up Qwen3-Coder as your local coding copilot in VSCode.
1. Requirements
Tool/Dependency | Version |
---|---|
VSCode | Latest stable |
LM Studio / GPT4All / vLLM | Any supported |
Qwen3-Coder model | 7B or 14B |
Ollama (optional) | Latest |
You can run Qwen3-Coder locally on a powerful PC or with GPU acceleration in the cloud.
2. Download the Model (Qwen3-Coder)
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Download and save the model for use in your local inference tool
3. Option 1: Use with LM Studio
LM Studio is the easiest GUI way to run local LLMs.
β Steps:
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Download LM Studio: lmstudio.ai
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Import your Qwen3-Coder GGUF model
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Enable OpenAI-compatible API
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Set
http://localhost:1234
as your API endpoint
VSCode Settings (using Continue extension):
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Install Continue extension in VSCode
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Set model endpoint in settings.json:
json"continue.modelProvider": "openai", "continue.openai.apiBase": "http://localhost:1234", "continue.openai.apiKey": "none"
Now you can autocomplete, generate, and refactor code right inside your IDE—powered by Qwen3!
4. Option 2: Use with vLLM or GPT4All (Advanced)
For devs with GPU setups:
bashpip install vllm python -m vllm.entrypoints.openai.api_server \ --model Qwen/Qwen1.5-7B-Chat \ --port 8000
Or use GPT4All
desktop app and select a Qwen3-compatible GGUF file.
5. Benefits of Local Copilot with Qwen3-Coder
Feature | GitHub Copilot | Qwen3-Coder Local |
---|---|---|
Cost | $10–20/mo | πΈ Free |
Internet required | β Yes | β Optional |
Model control | β No | β Full (editable) |
Custom fine-tuning | β Closed model | β LoRA / PEFT support |
On-device privacy | β Server-side | β 100% local |
Keep your code private. Get instant code suggestions without sending your data to the cloud.
6. Use Cases for Qwen3-Coder in VSCode
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Autocomplete Python, JS, HTML, Go, C++, and more
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Refactor legacy code with natural prompts
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Generate boilerplate configs, Dockerfiles, CI/CD
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Build agent-based CLI tools
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Comment or document code with one click
7. Optional Add-ons
Tool | Description |
---|---|
CodeGPT plugin | Adds prompt-to-code chat inside VSCode |
Continue extension | Full Copilot-like experience |
LangChain CLI | Use generated code directly in apps |
Ollama | One-command model serving |
Conclusion: The Copilot You Own
With Qwen3 Coder, you get:
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Real-time local code suggestions
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Total privacy and cost control
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Fine-tuned model behavior for your dev needs
Why rent GitHub Copilot when you can own your own?
Resources
Qwen3 Coder - Agentic Coding Adventure
Step into a new era of AI-powered development with Qwen3 Coder the worldβs most agentic open-source coding model.