In this video, I'll show you how to set up local LLM integration directly inside Visual Studio Code — no Cursor, no Copilot, no API keys required.

I'll walk you through the full process: installing VS Code, setting up Gemma 4 (8B) locally with Ollama, and connecting it to VS Code using the Continue extension. Then we'll put it to the test by building a simple to-do app from scratch using only the local model.

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⏱️ Timestamps:
00:00 – Intro
02:15 – Local Model Setup
03:21 – Installing and configuring the extension
05:43 – AI Tool Settings
06:54 – Live Demo
07:46 – Final Verdict

👍 If this was helpful, like and subscribe — more videos on local AI and dev tools coming soon.

#VSCode #LocalAI #Gemma4 #Ollama #AICoding #OpenSource #LLM #DevTools

YouTube

A walkthrough of setting up local LLM integration in Visual Studio Code using the Continue extension and Gemma 4 (8B parameter model) via Ollama. Covers installing VS Code from scratch, downloading the Gemma 4 model with Ollama, installing and configuring the Continue extension, adjusting tool permissions for agent mode, and completing simple coding tasks with the local model. Also notes that paid models like Claude or Gemini can be connected via API keys using the same setup.

Coding in VS Code with Gemma 4 and Ollama