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AI · April 7, 2026

Local AI Coding Assistant for VSCode

AI Copilot locally(VSCode)-no API, no limits, full privacy

Local AI Coding Assistant for VSCode launched on April 7, 2026.

What it does

Hey Product Hunt 👋 I built Ollama Copilot — a VSCode extension for AI coding using local LLMs via Ollama. After burning $20+ on a single task with GitHub Copilot/Claude, I explored a local-first approach. ⚡ Refactor, debug, explain code 🔒 No API, no limits, full privacy Still early, but surprisingly usable for real workflows. Would love your feedback!

Extension for Visual Studio Code - Local AI Copilot for VSCode using Ollama models

🚀 Local AI Copilot for VSCode ⚡ Runs fully on Ollama (no API required) 🧠 Agentic — it doesn't just suggest code, it writes, edits & refactors files for you. Ollama Codex is a AI copilot extension (for VSCode) that brings autonomous coding assistance directly into your editor using local LLMs via Ollama . Install qwen2.5-coder:14b or gemma4 from terminal/powershell: ├── src/ │ ├── extension.ts ├── package.json ├── tsconfig.json └── README.md Architecture VSCode Extension ↓ Agent Layer (Prompt + Tools + Memory) ↓ Ollama Runtime (Local LLM) ↓ Model (qwen2.5-coder:14B, gemma4) Key Components VSCode Extension Layer Type @ollama in the VSCode Chat box — then just describe what you…from marketplace.visualstudio.com

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    Just to clarify the background a bit. This project wasn’t planned as a big standalone release at first. On January 16, Ollama added support for an Anthropic-compatible API, and I was curious how far this could be pushed in practice. I decided to try plugging local Ollama models directly into a Claude Code-style workflow and see if it would actually work end to end. Here is the release note from Ollama that made this possible: https://ollama.com/blog/claude Technically, what I do is pretty straightforward: - Detect which local models are available in Ollama. - When…

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