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Offline Qwen3 AI Coding Setup for VS Code – No Internet, No Cost, Full Privacy

Run a powerful, private AI coding assistant on your laptop — completely offline. No API keys. No monthly fees. No telemetry. Your code never leaves your machine. What You'll Get Intelligent code generation, refactoring, d…

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Offline Qwen3 AI Coding Assistant



Run a powerful, private AI coding assistant on your laptop — completely offline.



No API keys. No monthly fees. No telemetry. Your code never leaves your machine.






What You'll Get




  • Intelligent code generation, refactoring, debugging, and explanation

  • Support for Python, JavaScript, TypeScript, Go, Rust, Java, C++, PHP, SQL, and more

  • Works on airplanes, remote sites, air-gapped networks, or when internet is down

  • Full privacy and zero cost after initial setup






Prerequisites






































Requirement Minimum Recommended
Operating System macOS 12+, Windows 10/11, Linux Latest macOS / Windows 11
RAM 8 GB 16 GB+
Disk Space 6 GB 10 GB+
VS Code Latest version Latest version
GPU (Optional) None NVIDIA 6GB+ / Apple Silicon








Step-by-Step Setup






Step 1: Install Ollama



macOS / Linux




curl -fsSL https://ollama.com/install.sh | sh






Windows: Download the installer from ollama.com/download



Verify:




ollama --version









Step 2: Download Qwen3 8B Model






ollama pull qwen3:8b






(≈5.2 GB – This is the only step that needs internet)






Step 3: Install Continue.dev in VS Code




  1. Open VS Code

  2. Go to Extensions (Ctrl/Cmd + Shift + X)

  3. Search for "Continue" (by Continue Dev, Inc. — blue spiral icon)

  4. Install it






Step 4: Configure Continue for Local Qwen3



Press Ctrl/Cmd + Shift + P → search "Continue: Open Config File"



Replace everything with:




{
"models": [
{
"title": "Qwen3-8B (Code)",
"provider": "ollama",
"model": "qwen3:8b",
"contextLength": 32768,
"completionOptions": {
"temperature": 0.2,
"maxTokens": 4096
}
}
],
"tabAutocompleteModel": {
"title": "Qwen3-8B Autocomplete",
"provider": "ollama",
"model": "qwen3:8b"
}
}






Save the file.






Step 5: Test It Offline




  1. Open Continue sidebar (Ctrl/Cmd + Shift + L)

  2. Select Qwen3-8B (Code)

  3. Turn off your internet completely

  4. Type in the chat: "Write a fast Python function to validate email addresses"



If it responds, your offline setup is working perfectly.









Useful Daily Workflows





  • Code Review: @Current File + "Review this function for bugs, security issues and performance"


  • Refactoring: Highlight code → Ctrl/Cmd + Shift + I → "Refactor with proper error handling and type hints"


  • Test Generation: "Write comprehensive pytest tests covering edge cases"


  • Faster responses: Set temperature to 0.1


  • Deeper analysis: Type /think in the chat






Hardware Performance Guide

































Hardware Tokens/sec Experience
Apple M1/M2 (16GB) 18–28 Very Good
NVIDIA RTX 3060 / 4060 25–45 Excellent
NVIDIA RTX 4090 50–80+ Near Instant
CPU Only (8-core) 2–6 Usable








Troubleshooting




























Issue Solution
Model not appearing Save config → Reload VS Code
Slow generation Check GPU usage (nvidia-smi)
Ollama not running Run ollama serve in terminal
Connection refused Restart Ollama desktop app








Why This Setup Matters in 2026




  • Complete privacy for client or proprietary code

  • Zero recurring costs

  • True offline capability anywhere

  • Full control over your AI tools



This is currently one of the strongest local AI coding setups available.






Originally published on mike.co.ke



Follow me for more practical WordPress, AI, and development guides.

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