AI Code Assistant with Continue and Ollama (Local LLM)

Introduction

In this tutorial, we will explore how to utilize the AI Code Assistant, specifically focusing on Continue and Ollama, to enhance your coding experience. This open-source tool allows developers to connect various models and create custom autocomplete and chat functionalities within their Integrated Development Environment (IDE). By the end of this guide, you will have a clear understanding of how to set up and use these features effectively.

Step 1: Setting Up Your Environment

To get started with the AI Code Assistant, follow these steps:

1. Install Required Software

   • Ensure you have a compatible IDE installed (e.g., Visual Studio Code).
   • Install Ollama by following the instructions on the Ollama GitHub page.
   • Make sure you have the necessary permissions to install extensions in your IDE.

2. Download AI Models

   • Visit the Ollama website or repository to choose the models you want to work with.
   • Use the command line to download the model using the following command:

     ollama pull [model-name]
     

   • Replace [model-name] with the name of the model you wish to use.

3. Configure Your IDE

   • Open your IDE and navigate to the extensions marketplace.
   • Search for and install any required extensions for Ollama or AI code assistance.

Step 2: Connecting Models to Your IDE

After setting up your environment, it’s time to connect the models to your IDE.

1. Open Configuration Settings

   • In your IDE, go to the settings or preferences menu.
   • Locate the section for extensions or plugins.

2. Add the Ollama Model

   • Add the model you downloaded earlier by specifying its name and any required parameters.
   • Example configuration might look like this:

     {
       "model": "[model-name]",
       "context": "your-development-context"
     }
     

3. Test the Connection

   • Create a new project or open an existing one.
   • Start typing code to see if the AI autocompletes suggestions based on the model.

Step 3: Utilizing the Chat Experience

Enhance your coding workflow by using the chat features provided by the AI Code Assistant.

1. Open the Chat Interface

   • Find the chat feature in your IDE, usually available in the sidebar or as a command palette option.

2. Interact with the Assistant

   • Ask coding-related questions or seek explanations about code snippets.
   • Example prompts to try:
     • "Explain the purpose of this function."
     • "Suggest improvements for my code."

3. Incorporate Feedback

   • Use the suggestions and explanations to refine your code.
   • Implement the recommendations directly into your project.

Step 4: Customizing Autocomplete Features

Tailor the autocomplete functionality to better suit your coding style.

1. Adjust Settings

   • Access the settings for the AI Code Assistant in your IDE.
   • Customize the autocomplete parameters, such as suggestion frequency and context sensitivity.

2. Experiment with Different Models

   • Try different models to see which provides the best suggestions for your coding tasks.
   • Switch models by changing the configuration settings.

3. Monitor Performance

   • Keep track of how the suggestions improve your coding efficiency.
   • Make adjustments as necessary based on your experience.

Conclusion

By setting up the AI Code Assistant with Continue and Ollama, you can significantly enhance your development process. This guide walked you through the setup, connection, and utilization of AI features in your IDE. As you become more familiar with these tools, consider exploring advanced configurations and additional models to further optimize your coding experience. Happy coding!