Codeqai - AI Coding Assistant That Semantically Chats with Your Codebase!
AI Summary
Summary of Code Q AI Introduction
- Introduction to Code Q AI:
- A local semantic code search and chat tool.
- Utilizes technologies like Tree-sitter and Sentence Transformers.
- Analyzes code and pairs with GitHub repositories.
- Saves methods and documentation to a local vector database.
- Features:
- Step-by-step search process demonstrated in a demo video.
- Allows detailed queries about the codebase.
- Offers semantic code search with context-aware results.
- Community Engagement:
- Active private Discord community.
- Partnerships offering free subscriptions to various AI tools.
- Opportunities for collaboration and access to AI resources.
- Installation and Use:
- Requires Python 3.9 or above.
- Installation is a simple command-line step.
- Supports semantic search and chat dialogue with code.
- Can sync with Git repositories.
- Supports multiple programming languages.
- Technical Details:
- Built with multiple toolkits and frameworks.
- Maintains an up-to-date vector database for fast code analysis.
- 100% local with support for various language models.
- Allows the use of remote models and hugging face CLI.
- Functionality:
- Reads and understands code structure.
- Stores method documentation in a local database.
- Uses embeddings to represent code compactly.
- Searches and chats with code based on meaning or context.
- Additional Information:
- Encourages joining the Discord for more demonstrations.
- Promotes following on Twitter and subscribing for updates.
Call to Action
- Join the Discord community via Patreon link.
- Follow on Twitter, subscribe, and turn on notifications for updates.