Tabby is a powerful, self-hosted AI coding assistant that offers a wide range of features to enhance your software development workflow. This open-source, on-premise application provides capabilities similar to GitHub Copilot, allowing you to experience the benefits of an AI-powered coding assistant without relying on a third-party service.

Some of the key features of Tabby include:

• Code Completion: Tabby can assist you in writing code by providing intelligent code completion suggestions, helping you to be more productive and efficient.
• Debugging: The tool can identify and fix errors in your code, providing valuable feedback to improve the quality of your codebase.
• Code Chatting: Tabby allows you to chat with your entire codebase, enabling you to ask questions and receive relevant information about your project.
• Code Editing: The application can make direct edits to your code, allowing you to collaborate with the AI assistant in a seamless manner.

To get started with Tabby, you can follow the comprehensive documentation provided on the project's website. The installation process is straightforward, with options for Docker, Docker Compose, Homebrew, and various operating systems. Once installed, you can easily integrate Tabby with your preferred IDE, such as Visual Studio Code, and start leveraging its powerful features.

Tabby's recent updates include the introduction of Codefresh integration, an answer engine for internal engineering teams, and a VS Code 1.7 extension that provides a seamless chat experience within your coding environment. Additionally, the tool offers flexible configurations, including HTTP API integrations, to suit your specific development needs.

By using Tabby, you can unlock the benefits of an AI-powered coding assistant without the need for a third-party service, ensuring that your codebase and development process remain under your control. Explore the capabilities of Tabby and experience the future of self-hosted AI-assisted coding.

Tabby is a powerful self-hosted AI coding assistant that offers a range of features to enhance your development workflow. Here's a closer look at some of its key capabilities:

Code Completion: Tabby's code completion feature allows you to generate and autocomplete code snippets with ease. Simply provide Tabby with a prompt, and it will generate the corresponding code, saving you time and effort.

Debugging: Tabby's debugging capabilities are particularly impressive. When provided with a code snippet containing errors, Tabby can quickly identify and fix the issues, helping you streamline your debugging process.

Chatting with Your Codebase: Tabby's chat interface enables you to engage in natural language conversations with your codebase. You can ask questions, get explanations, and even generate new code, all within the same interface.

Seamless GitHub Integration: Tabby offers flexible configurations, including seamless integration with self-hosted GitHub repositories. This allows you to leverage Tabby's features directly within your existing development environment.

Expanded Capabilities: Tabby's capabilities continue to grow, with recent additions such as the Answer Engine, which provides reliable and precise answers to empower your development team.

To get started with Tabby, simply follow the comprehensive installation instructions provided in the documentation. Once set up, you can explore Tabby's features through the web-based interface or integrate it directly into your preferred IDE, such as Visual Studio Code.

Tabby, the self-hosted AI coding assistant, offers various installation options to cater to your specific needs. Whether you prefer a seamless integration with your IDE, a Docker-based setup, or a native installation on your operating system, Tabby has you covered.

To get started, head over to the Tabby documentation website and explore the "Quick Start" section. Here, you'll find detailed instructions for installing Tabby using the method that best suits your environment.

For a quick and easy setup, the Homebrew package manager on macOS provides a straightforward installation process. Simply run the command brew install tabby and you're good to go.

If you prefer a more flexible configuration, Tabby also supports installation via Docker and Docker Compose. This option allows you to easily manage and scale your Tabby deployment, making it an ideal choice for teams or enterprise-level setups.

For users who prefer a native installation, Tabby offers support for Linux and Windows operating systems. Follow the step-by-step guides provided in the documentation to install Tabby directly on your machine.

Regardless of your chosen installation method, Tabby's powerful features, such as code completion, debugging, and code-based chatting, will be at your fingertips. Explore the Tabby playground to get a hands-on experience with the tool and witness its capabilities firsthand.

Tabby is a self-hosted AI coding assistant that allows you to set up your own large language model and leverage its powerful features. The platform offers a range of capabilities, including code completion, debugging, and code editing, all within an integrated development environment (IDE) or through a web-based interface.

One of the key features of Tabby is its playground, which enables you to test and explore the assistant's capabilities. The playground provides a chat-based interface where you can interact with Tabby, ask questions, and generate code snippets.

In the playground, you can experiment with various tasks, such as:

1. Code Generation: Provide Tabby with a description of the functionality you need, and it will generate the corresponding code for you, including the necessary syntax and structure.

2. Code Debugging: Supply Tabby with a code snippet that contains errors, and it will identify and fix the issues, providing explanations and suggestions for improvement.

3. Code Explanation: Select a code snippet, and Tabby will analyze and explain the purpose, logic, and functionality of the code.

4. Unit Test Generation: Tabby can generate unit tests for your code, helping you ensure the quality and reliability of your software.

The playground allows you to experiment with Tabby's capabilities in a safe and controlled environment, giving you a hands-on experience before integrating the assistant into your development workflow. By exploring the playground, you can better understand how Tabby can enhance your coding productivity and efficiency.

To get started with Tabby's playground, simply visit the Tabby documentation website and click on the "Playground" button. This will take you to the interactive interface where you can begin testing and exploring the AI coding assistant's features.

Tabby, the self-hosted AI coding assistant, not only helps with code generation but also excels at debugging. In this section, we'll showcase Tabby's ability to identify and fix errors in your code.

To demonstrate this, we provided Tabby with a large code snippet that contained multiple errors. Tabby quickly analyzed the code and identified the issues, including a CSS property set to an incorrect value of 125% that could push the tooltip out of the visible zone. Tabby suggested the correct value of 100%, showcasing its ability to pinpoint and resolve such problems.

This feature is particularly valuable when working with Tabby integrated into your IDE, as it can automatically provide feedback and suggest fixes, helping you clean up your code efficiently. Tabby's debugging capabilities empower developers to identify and address issues in their codebase, improving code quality and productivity.

Tabby is a self-hosted AI coding assistant that offers a range of features to enhance your programming experience. In this section, we'll dive into the practical applications of Tabby and showcase its capabilities.

First, we'll explore Tabby's code completion feature. By defining the elements and providing a code snippet, Tabby can automatically complete the section, suggesting relevant code that you can easily incorporate into your project. This streamlines the coding process and helps you stay productive.

Next, we'll demonstrate Tabby's debugging capabilities. By providing a code snippet with multiple errors, Tabby can identify and fix the issues, offering solutions and explanations. This feature is particularly useful when dealing with complex code, as Tabby can quickly pinpoint and resolve problems, saving you valuable time.

Furthermore, we'll showcase Tabby's integration with the VS Code IDE. By installing the Tabby extension, you can seamlessly access Tabby's features directly within your coding environment. This includes the ability to chat with Tabby, ask questions, and receive real-time assistance throughout your coding experience.

Lastly, we'll explore Tabby's experimental features, such as the chat playground and the code browser. The chat playground provides a conversational interface where you can interact with Tabby, ask questions, and generate code snippets. The code browser, on the other hand, allows you to browse and explore the code that Tabby has indexed, providing additional insights and the ability to generate unit tests.

By showcasing these various capabilities, you'll gain a comprehensive understanding of how Tabby can streamline your coding workflow, enhance your productivity, and empower you as a developer.

Tabby, the self-hosted AI coding assistant, has introduced two exciting experimental features: the Chat Playground and the Code Browser.

The Chat Playground provides a GPT-like chat experience specifically designed for developers. Users can interact with Tabby's chat interface to ask questions, generate code, and receive helpful responses. This feature runs locally on the user's machine, ensuring privacy and security.

For example, users can ask Tabby to help them parse a CSV file in Python, and the assistant will generate the necessary code and provide explanations.

The Code Browser allows users to browse and explore the code that Tabby has indexed. Users can select code snippets and ask Tabby to explain the code or even generate unit tests for the selected functions. This feature enhances code understanding and facilitates code exploration.

Both the Chat Playground and the Code Browser are experimental features, but they showcase Tabby's powerful capabilities in assisting developers with their coding tasks. These features, combined with Tabby's other functionalities, such as code completion, debugging, and integration with various IDEs, make it a compelling choice for developers who want to enhance their productivity and efficiency.

Tabby is a powerful self-hosted AI coding assistant that offers a range of features to enhance your coding experience. With its ability to generate code, provide code completion, debug code, and even chat with your codebase, Tabby can significantly improve your productivity and efficiency as a developer.

The key highlights of Tabby include:

• Integration with various IDEs, including VS Code, allowing for a seamless coding experience.
• Support for multiple programming languages and the ability to work with your own large language models.
• Debugging capabilities that can identify and fix errors in your code.
• A chat interface that enables you to interact with your codebase and get answers to your questions.
• Seamless integration with GitHub and other development tools.
• Customizable configurations to suit your specific needs.

Overall, Tabby is a valuable tool for developers who want to streamline their coding workflow and leverage the power of AI to enhance their productivity. Whether you're a solo developer or part of a larger team, Tabby is worth exploring and trying out for yourself.