Have you ever wanted an AI coding assistant inside VS Code without paying for GitHub Copilot or other monthly subscriptions?

The good news is—you can.

Using Qwen 3 and Ollama, you can run a powerful coding model directly on your computer and use it inside VS Code.

No API costs.

No cloud dependency.

Your code stays on your machine.

📺 Watch the Complete Video Tutorial

🎥 YouTube Video:


How to Use Qwen 3 with VS Code (FREE) | Complete Setup with Ollama

What You'll Learn

By the end of this tutorial you'll know how to:

• Install Ollama


• Download Qwen 3


• Connect Qwen 3 with VS Code


• Configure OpenCode


• Generate your first AI code


• Fix common setup issues


• Use local AI effectively

What is Qwen 3?

Qwen 3 is Alibaba's latest family of open-source large language models.

It performs well for:

• Code Generation


• Debugging


• Code Explanation


• Refactoring


• General Programming Tasks

Since it can run locally using Ollama, you don't need to rely on cloud APIs for everyday coding assistance.

What is Ollama?

Ollama lets you run Large Language Models directly on your computer.

Benefits include:

• Privacy


• No API Charges


• Offline Support


• Fast Local Responses


• Easy Model Management

Step 1 — Install Ollama

Download Ollama from:

Qwen Models

Conclusion

Running Qwen 3 locally inside VS Code is a great option if you want a private, free AI coding assistant.

Whether you're learning React, JavaScript, or working on professional software projects, local AI models have become capable enough to be part of your daily development workflow.

🎥 Prefer Watching?

If you found this article helpful, consider following TheCodeStreet for more tutorials on:

• AI


• .NET


• C#


• Ollama


• Qwen


• AI Agents


• Semantic Kernel


• VS Code


• Software Development

Happy Coding! 🚀