ad
ad
Topview AI logo

Tabby: FREE Self-hosted AI coding Assistant! Develop Apps, Debug, Code Completion, etc!

Science & Technology

Tabby: FREE Self-hosted AI coding Assistant! Develop Apps, Debug, Code Completion, etc!

There is a self-hosted AI coding assistant that is completely free. Think of it as a GitHub Copilot alternative. It's open source, on-premise, and offers several key features similar to GitHub Copilot. Let me introduce Tabby.

Tabby is a self-hosted AI coding assistant that you can set up with your own large language model. It offers many features, including software code completion, debugging, chatting with your entire code base, and making edits to it. Here is an example posted on my Twitter some time ago demonstrating how Tabby finds the maximum element in an array. It defines the elements, autocompletes the section, suggests code, and executes commands. This is the pair programmer that I'm showcasing throughout today's video.

World of AI Solutions

Before getting started, I'd like to introduce World of AI Solutions, a significant update for my channel. I have compiled a team of software engineers, machine learning experts, and AI consultants to provide AI solutions for businesses and personal use cases to automate tasks or support business operations.

If you're interested, check the Google Form link in the description below. I also recommend joining our Patreon page to access new AI subscriptions we'll release this week. You can book a consulting call with me using the link in the description below.

Features and Capabilities of Tabby

I made a video on Tabby a while ago, but many new features deserve a fresh look. First, Tabby now has Codetroll integration. They introduced an answer engine, a central knowledge engine for internal engineering teams, which integrates seamlessly with internal data to deliver precise answers. Other new features include:

  • VS Code 1.7 marks: Offers a chat experience within your coding environment.
  • Seamless Integrations: With GitHub, self-hosted GitHub, HTTP API integrations.
  • Expanded capabilities: More capabilities have been added over the past few months.

Installation and Setup

You might wonder how to install this. You can head to the documentation page (link in the description) and check the Quick Start section, which shows multiple ways to install Tabby. Options include integration with your IDE, Docker, Docker Compose, Homebrew, Linux, Windows, and more.

Exploring Tabby

First, go to the Tabby docs website and try the demo. This demo allows you to test how effectively Tabby works. This chat interface lets you generate code, ask questions, and more. For instance, I asked it to help me code a front-end component – an animated button saying "Sign Up Now." It generated the CSS code, JS code for interaction, and HTML for structure.

Debugging with Tabby

I showcased how Tabby can debug errors. A large code snippet with multiple errors was provided. By instructing it to find and fix errors, Tabby identified them and provided solutions efficiently, demonstrating its powerful debugging capabilities.

Product Demo for Mac Users

Finally, in a product demo, you can see different ways to install Tabby on a Mac. Installation with Homebrew is easy. After setup:

  1. Use Tabby in VS Code: Install the Tabby extension and interact with it to generate code.
  2. Web Server Dashboard: Homepage shows activities, settings for configurations, job logs, and reports.
  3. Chat Playground and Code Browser: Chat interface similar to ChatGPT but specifically for coding, and a code browser to explore code indexes for functions.

Tabby integrates well with an optimized local setup, enhancing coding productivity.

Final Thoughts

I highly recommend trying Tabby, especially with a large language model like Sony 3.5, to greatly enhance efficiency and productivity. Check the description for links and further details. Follow me on Twitter for the latest AI news, join the Patreon page for free AI tool subscriptions, and subscribe to my channel with notifications on to stay updated.

Keywords

FAQ

1. What is Tabby? Tabby is a self-hosted AI coding assistant that offers features like software code completion, debugging, chatting with your code base, and making edits, similar to GitHub Copilot.

2. How can I install Tabby? You can install Tabby in multiple ways, including integration with your IDE, Docker, Docker Compose, Homebrew, Linux, and Windows. Detailed installation steps are available on the Tabby documentation page.

3. What are some recent features of Tabby? Recent features include Codetroll integration, an answer engine for developer teams, a significant VS Code update for chat experience, seamless integrations with repositories like GitHub, and expanded capabilities.

4. Can Tabby help with debugging code? Yes, Tabby's capabilities include identifying and fixing errors in your code, offering debugging support to improve code quality and efficiency.

5. Is there a way to try Tabby before installing it? Yes, you can try Tabby using the demo available on the Tabby docs website, which lets you interact with the chat interface and test its code generation capabilities.

6. How does Tabby enhance productivity in coding? By providing features like code auto-completion, debugging, and seamless integration with IDEs and repositories, Tabby enhances coding productivity and efficiency.

7. What platforms does Tabby support? Tabby supports multiple platforms including macOS (using Homebrew), Linux, and Windows, along with various installation methods like Docker and Docker Compose.