📄️ Component Overview
The AI-assisted coding assistant project consists of several key components and technologies, including a VS Code extension for code suggestions, a Flask backend for processing and logging user interactions, Ollama as the AI model, Supabase for authentication and database storage, and a Next.js dashboard for users to track their progress.
📄️ Class Diagram
Overview
📄️ Sequence Diagrams
Use Case 1: Receiving Context-Aware Code Suggestions
📄️ Entity Relation Diagram
Copilot ERD
📄️ Ollama - AI Model
CodeLlama is an advanced code generation model developed by Meta AI. It is a large language model (LLM) designed specifically for coding tasks, leveraging the LLaMA architecture to provide efficient and high-quality code completion, generation, and understanding capabilities.
📄️ Development Environment
Required Hardware
📄️ Version Control
Overview
📄️ Logging
Logging is critical for understanding user behavior and system performance for this project. Logs are used to track user interactions, AI model behavior, and system events. All logs are stored in a Supabase database for analysis.