Use Qwen3 Coder as a Local VSCode Copilot

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:

  • Autocompletes code in real time

  • Understands long prompts & context

  • Works offline via LM Studio, GPT4All, or vLLM

  • 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)


3. Option 1: Use with LM Studio

LM Studio is the easiest GUI way to run local LLMs.

βœ… Steps:

  1. Download LM Studio: lmstudio.ai

  2. Import your Qwen3-Coder GGUF model

  3. Enable OpenAI-compatible API

  4. Set http://localhost:1234 as your API endpoint

VSCode Settings (using Continue extension):

  1. Install Continue extension in VSCode

  2. 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:

bash
pip 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 πŸ’Έ Free
Internet required βœ… Yes ❌ Optional
Model control ❌ No βœ… Full (editable)
Custom fine-tuning ❌ Closed model βœ… LoRA / PEFT support
On-device privacy ❌ Server-side βœ… 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

  • Autocomplete Python, JS, HTML, Go, C++, and more

  • Refactor legacy code with natural prompts

  • Generate boilerplate configs, Dockerfiles, CI/CD

  • Build agent-based CLI tools

  • 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:

  • Real-time local code suggestions

  • Total privacy and cost control

  • 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 world’s most agentic open-source coding model.