PRO_CODE – Complete Local AI Coding Assistant

PRO_CODE is a privacy-focused AI coding assistant that runs entirely on your local machine. It combines the power of local Large Language Models (LLMs) with persistent memory capabilities, providing intelligent code assistance without ever sending your code to external servers. The system uses ChromaDB for vector-based memory storage, enabling it to remember context from previous sessions and learn your coding patterns over time. With Ollama integration running CodeLlama 13B locally, you get fast, private code generation with no API costs or privacy concerns. Built with Python and featuring a beautiful CLI interface powered by Rich and Typer, PRO_CODE provides an elegant development experience. Whether you're working on proprietary codebases, prefer offline development, or simply want more control over your AI tools, PRO_CODE offers a powerful alternative to cloud-based solutions.

1. Query Input: User provides coding question or task through the CLI interface. 2. Vector Embedding: The query is converted to vector embeddings using sentence transformers. 3. Context Retrieval: ChromaDB performs semantic search to retrieve relevant past interactions and code patterns. 4. Context Assembly: Retrieved embeddings, current file contents, and conversation history are combined into a rich prompt. 5. Local Inference: Ollama runs CodeLlama 13B locally to generate code suggestions and answers. 6. Streaming Response: Results are streamed back in real-time with beautiful formatting and syntax highlighting. 7. Memory Storage: Successful interactions are embedded and stored in ChromaDB for future retrieval. 8. Tool Execution: File operations, Git commands, and terminal operations are executed with explicit approval.