Tabby

What is Tabby?

Tabby is an open-source, self-hosted AI coding assistant designed to enhance the coding experience by providing speed, safety, and customization features. It is powered by Rust, known for its reliability and efficiency. Users can easily configure Tabby using a TOML config to control deployment according to their preferences. The platform prioritizes security and compliance, offering an open-source codebase that can be audited on GitHub. Users also have the option to host their own deployment, ensuring full control over their coding environment. Tabby provides comprehensive resources such as documentation, tutorials, and a supportive community accessible through Slack. By visiting the Tabby blog and utilizing the status page and media kit, users can stay informed and connected with the latest updates and resources.

Who created Tabby?

Tabby, an open-source, self-hosted AI coding assistant, was created to streamline the coding experience by providing speed and reliability through its utilization of Rust programming language. It offers easy configuration with a TOML config, emphasizing security and compliance with an open-source codebase. Users can audit the entire codebase on GitHub and host their deployment. The platform also includes comprehensive documentation, a supportive community, a blog for updates, a status page, and a media kit for media-related needs.

What is Tabby used for?

• Enhancing and streamlining the coding experience
• Providing a quick and reliable coding process
• Easy configuration capabilities through a TOML file
• Prioritizing security and compliance with an open-source codebase
• Audit the Tabby codebase on GitHub for security and compliance
• Personalized and tailored coding environment
• Comprehensive documentation with tutorials and a playground for experimentation
• Supportive community accessible through Slack
• Resources for getting started and advancing coding skills
• Providing latest news and developments through the Tabby blog
• Easy configuration with TOML
• Control over deployment
• Prioritizing security and compliance
• Open-source codebase for transparency
• Comprehensive documentation and tutorials
• Community support through Slack
• Regular updates through blog
• Media kit available for media-related needs

How to use Tabby?

Tabby is an open-source, self-hosted AI coding assistant designed to streamline and enhance the coding experience. Here is a step-by-step guide to using Tabby:

1. Configuration:

   • Begin by configuring Tabby using a simple TOML config. This allows you to personalize the deployment according to your preferences.

2. Coding Experience:

   • Benefit from the speed and safety of Rust, the programming language that powers Tabby. This ensures a quick and reliable coding process.

3. Security and Compliance:

   • Tabby prioritizes security and compliance by providing an open-source codebase. You can audit the entire codebase on GitHub for transparency and host your deployment for full control.

4. Resources:

   • Access comprehensive documentation with explanations, tutorials, and a playground for experimentation. Join the Tabby community on Slack for collaboration and knowledge sharing.

5. Stay Updated:

   • Visit the Tabby blog to stay informed about the latest news and developments. Monitor Tabby's uptime using the status page and access a media kit for media-related needs.

6. Summary:

   • Tabby empowers users with a customizable, safe, and speedy coding environment. It offers intuitive configuration, robust security measures, and a supportive community to enhance the coding journey.

By following these steps, you can leverage Tabby to optimize your coding workflow and benefit from its features tailored to improve your coding experience.