Applied AI Ubuntu 24.04 LTS

How to Set Up Continue.dev with Ollama in VS Code on Linux

Configure Continue.dev inside VS Code on Linux to get instant autocomplete and inline code refactoring powered by local open-weight models.
Z
Zaisha
Staff Writer · Verified Editor
Published Oct 17, 2026 · 3 min read · 216 words
Quick Overview

This deep-dive covers continue dev ollama vs code with actionable analysis, practical implications, and expert insights.

Why Continue.dev + Ollama?

Cloud AI coding assistants can be expensive and may raise data compliance concerns for proprietary codebases. Continue is an open-source VS Code extension that connects directly to local inference backends like Ollama, giving you free, private code completion.

Step 1: Pull Recommended Coding Models

For chat, inline refactoring, and code generation, the Qwen 2.5 Coder family offers state-of-the-art capability:

# Main chat and refactoring model
ollama pull qwen2.5-coder:7b

# Fast low-latency model for tab autocomplete
ollama pull qwen2.5-coder:1.5b

Step 2: Installing the Continue Extension

Open VS Code on your Linux machine, press Ctrl+P, and enter:

ext install Continue.continue

Step 3: Configuring Local Model Endpoints

Click the gear icon in the bottom right of the Continue sidebar to open ~/.continue/config.yaml. Update your configuration to use local Ollama models:

models:
  - name: "Qwen 2.5 Coder 7B"
    provider: "ollama"
    model: "qwen2.5-coder:7b"

tabAutocompleteModel:
  title: "Qwen Coder 1.5B"
  provider: "ollama"
  model: "qwen2.5-coder:1.5b"

Step 4: Using Keyboard Shortcuts

Test the integration using Continue's primary keybindings:

  • Ctrl+L: Open the Continue chat pane with your selected code block attached.
  • Ctrl+I: Inline code refactor prompt directly inside the editor buffer.
  • Tab: Accept real-time code completions as you type.

You now have a fully functional local AI pair programmer running on Ubuntu without monthly subscription fees.

Tested & Verified Environment
Author Verified
Operating System: Ubuntu 24.04 LTS
Verification Date: Oct 17, 2026
Testing Methodology & Notes: Tested on VS Code 1.94 (Linux x64) with Continue v0.8. Qwen2.5-Coder:7b used for autocomplete and chat. Tested inline tab completion in PHP and Python files.

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Frequently Asked Questions

Structured for search engines and AI answer systems (AEO/GEO).

qwen2.5-coder:7b and deepseek-coder:6.7b provide the best balance of code accuracy and rapid token generation on consumer hardware.

When configured with Ollama, all context and code snippets remain entirely on your local machine.

In your Continue config.yaml, specify a dedicated tabAutocompleteModel using a fast low-latency model such as qwen2.5-coder:1.5b.

More answers in our FAQ hub.

Z
Zaisha

Tech journalist covering AI, software, and emerging technology with a focus on practical insights.

Testing Standards: Tutorials and guides are hands-on tested on Ubuntu Linux workstations before release.
View all articles by Zaisha

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