VS Code users can now leverage the power of artificial intelligence (AI) to enhance their coding experience. By integrating a local large language model (LLM), developers can tap into AI-driven features such as code completion, debugging, and language learning.
To get started, install Ollama, a popular LLM for coding, on your Linux machine. For macOS and Windows users, the installation process is slightly different, but the result is the same: access to a powerful local model that can be used offline and with more privacy than traditional API-based solutions.
The benefits of integrating VS Code with a local LLM include:
* No need for APIs or third-party services
* Improved code completion and debugging capabilities
* Increased language learning opportunities
To set up Ollama on your Linux machine, simply run the installation command: `curl -fsSL https://ollama.ai/install.sh | bash`
For macOS users, use the command: `curl https://ollama.ai/install.sh | sh`
Once installed, pull a model from the Ollama Model Library and install the required extension, Continue. Configure the extension to use your preferred LLM model.
Using the Continue extension, you can:
* Write code with AI assistance
* Debug code with automated suggestions
* Learn new programming languages
To get started, open VS Code, type `ext install continue.continue` in the search bar, and click Install. Then, configure the extension to use your preferred LLM model.
By integrating a local LLM into VS Code, developers can unlock a new level of productivity and learning capabilities, making it an essential tool for anyone looking to improve their coding skills.
Source: https://thenewstack.io/how-to-integrate-a-local-llm-into-vs-code