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# Running a Fully Local AI Code Assistant with Continue–Configuring VSCode and Enhancing Workflow

**[Collections](https://daily.dev/sources/collections)** · 2 min read · 2 upvotes · 0 comments

## Summary

This guide details the steps to set up a fully local AI Code Assistant using the Continue extension in VSCode. It covers configurations, leveraging vector embeddings to understand your codebase, and utilizing features for editing and automating repetitive tasks to enhance coding efficiency.

## Content

# Introduction
In this comprehensive guide, we will walk you through setting up and enhancing a fully local AI Code Assistant with Continue, integrated into your VSCode environment. We'll cover configuring the VSCode extension, leveraging vector embeddings to understand your codebase, and using editing and actions features to streamline your coding workflow.

## Part 1: Configuring the VSCode Extension
To get started with Continue as your local AI Code Assistant, you need to configure the VSCode extension properly. This involves updating the language model and dealing with any potential issues that might arise.

### Step-by-Step Configuration
1. **Download the VSCode Extension**: Start by downloading the Continue extension from the VSCode marketplace.
2. **Update the Language Model**: In case the existing language model becomes unavailable, download and configure a new one. Follow the provided steps in the extension documentation to ensure compatibility.
3. **Enable Autocomplete**: Ensure that the autocomplete feature is working properly by checking the extension’s settings and making necessary adjustments.

## Part 2: Learning from Your Codebase
To make the most out of your AI Code Assistant, it's essential to enable it to understand and learn from your codebase using vector embeddings.

### Utilizing Vector Embeddings
1. **Download the nomic-embed-text Model**: Obtain the nomic-embed-text model necessary for embedding your code context.
2. **Update Continue's Configuration**: Adjust the configuration of the Continue extension to index your codebase. This allows the assistant to provide more context-aware and relevant suggestions.

## Part 3: Editing and Actions
Enhancing your coding workflow is seamless with Continue's editing and actions features. These tools allow you to make prompt-based modifications and automate repetitive tasks, thereby increasing productivity.

### Editing Features
1. **Prompt-based Modifications**: Implement changes directly within your code by providing prompts to Continue, which then applies the desired modifications.

### Actions Features
1. **Custom Prompts for Repetitive Tasks**: Create custom prompts to automate tasks such as generating unit tests or documentation, making it easier to maintain and develop your codebase.

## Conclusion
By following these steps to configure the VSCode extension, leverage vector embeddings, and utilize the editing and actions features, you can significantly enhance your coding efficiency with a fully local AI Code Assistant. The Continue extension offers a robust solution to streamline your development process while keeping everything local and secure.

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---

Tags: [#ai](https://daily.dev/tags/ai), [#devtools](https://daily.dev/tags/devtools), [#vscode](https://daily.dev/tags/vscode)

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