AI/AIZENME
💻 CODE · Coding & Dev Level: Beginner ⏱ 15 MIN Free & Open Source

Build a 100% Offline, Free Coding Assistant in VS Code with Continue + Ollama

Working in an air-gapped enterprise or tired of monthly subscriptions? Run `Qwen2.5-Coder` locally via Ollama and connect the open-source Continue extension in VS Code for fast offline autocomplete and chat.

CORE TOOLS Continue (Open-Source Extension), Ollama, Qwen2.5-Coder
BEST FOR Enterprise developers, embedded engineers, students, indie hackers
REQUIREMENTS VS Code or JetBrains IDE; local Ollama (8GB+ RAM)
✦ WHY THIS WORKFLOW

Using a heavy 14B model for keystroke autocomplete feels laggy. Pairing a tiny 1.5B Fill-In-the-Middle model for Tab completion with a 7B/14B model for chat makes local AI snappy.

✦ Interactive Workflow Animation Preview

Step-by-Step Action Checklist

0 / 4 Completed
READY-TO-USE PROMPT TEMPLATE
Open Official Tool / Repo ↗ 
I want to set up a 100% offline coding assistant in VS Code using `Ollama + Continue` on [my hardware, e.g., 16GB Apple Silicon / 8GB VRAM GPU].
Provide:
1) Best model pairing for instant Tab autocomplete vs deep chat refactoring;
2) A complete `~/.continue/config.json` including local codebase embeddings and 2 custom `slashCommands` (e.g., docstring generation and bug review).
Use Cases & Tags:
Air-gapped enterprise code completionZero-cost local Copilot alternativePrivate codebase-wide RAG chatCustom team slash commands for unit tests#ollama#qwen-coder
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