FINALLY! Open-Source LLaMA Code Coding Assistant (Tutorial) - cody.dev
AI Summary
- Introduction to Local Coding Assistant
- Coding assistants revolutionize developer workflows.
- Internet connection is typically required, posing limitations.
- Introducing a local solution: Cod, powered by open-source Olama.
- Setting Up Cod with Olama
- Cod is sponsored and offers local autocompletion.
- Utilizes Code Llama 7 billion parameter model.
- Requires Visual Studio Code (VSS Code) and Cod extension.
- Installation Steps
- Download VSS Code from code.visualstudio.com.
- Install Cod extension from VSS Code’s extensions panel.
- Sign in to Cod using GitHub or Google.
- Set up Olama for local inference.
- Download and install Olama.
- Use terminal in VSS Code to pull Code Llama model.
- Configure Cod settings to use Olama for autocompletion.
- Demonstration of Local Autocompletion
- Proves local operation by disconnecting from the internet.
- Shows fast autocompletion for coding tasks.
- Offers additional features like code generation and context understanding.
- Additional Cod Features
- Chat with different AI models.
- Add documentation, edit code, explain code, and detect code smells.
- Generate unit tests.
- Highlights Cod’s advantages over GitHub Co-pilot.
- Conclusion
- Cod is a versatile and powerful tool for developers.
- Offers both free and paid versions with advanced features.
- Encourages viewers to try Cod and thanks the sponsor.
- Call to Action
- Visit cody.deev for more information.
- Like and subscribe for future content.