Tabby

Tabby is an open-source, self-hosted AI coding assistant that enhances the coding experience for developers. It offers a range of features to support users in their coding endeavors, with a focus on ease of configuration, transparency, and the power of Rust.

Key features:
- Easy configuration using simple TOML files
- Open-source codebase available on GitHub for auditing and hosting
- Built with Rust for speed and reliability
- AI-driven coding assistance, including intelligent suggestions and code completion
- Playground environment for experimenting and testing code
- API for integrating Tabby's features into other applications and services
- Community-driven approach with a Slack channel and GitHub repository for collaboration and support

How it works:
Users primarily interact with Tabby through its web app, where they can access the AI coding assistant. The tool assists developers in their coding tasks by providing intelligent suggestions, code completion, and other AI-driven features. Users can configure Tabby using simple TOML configurations and host their own deployment if needed.

Integrations:
Tabby supports integrations with various tools and services through its API, allowing for customization and integration with a wide range of applications.

Use of AI:
Tabby leverages generative artificial intelligence to provide its AI coding assistance features.

AI foundation model:
The specific AI foundation model or LLM used by Tabby is not explicitly mentioned.

How to access:
Tabby is available as a web app and offers an API for integration. It is suitable for developers, coders, and software engineers who want to enhance their coding experience with AI-driven assistance.