Tabby

Overview

Tabby is a self-hosted AI programming assistant that provides developers with an open-source, locally deployable alternative to GitHub Copilot. It leverages third-party open-source code large language models such as StarCoder, CodeLlama, and DeepseekCoder to deliver code completion and suggestion capabilities directly within your own infrastructure. Because the entire system runs on your servers, you maintain full control over your codebase, reduce reliance on external cloud services, and strengthen data security. It is a powerful solution for teams that need the benefits of an AI assistant without compromising on privacy or flexibility.

Tabby's core mission is to help developers write better code more efficiently. It offers context-aware auto-completion, code suggestions, and a variety of programming-related features that streamline everyday development tasks. From generating multi-line code structures to detecting potential errors, Tabby acts as a reliable coding partner. The assistant is designed to fit seamlessly into your workflow, responding to your input and encouraging more productive coding habits. Its self-hosted nature also enables deep customization, allowing teams to tailor the assistant to their specific workflows and security standards, ultimately improving both productivity and the coding experience.

Core capabilities

Code auto-completion

Tabby automatically completes code lines based on context, offering single-line or entire function suggestions to reduce typing and speed up coding.

Code suggestions

While coding, Tabby offers relevant code snippet suggestions, helping developers quickly implement specific functionality or structures.

Multi-line code generation

Beyond single-line completion, Tabby generates multi-line snippets including loops, conditionals, and function definitions.

Function and class generation

Tabby suggests or auto-generates complete function or class structures, including parameters, return types, and method implementations.

Error detection and correction

Tabby identifies potential errors in code and provides fix suggestions, helping developers maintain code quality.

Code optimization

Tabby offers optimization advice based on best practices, enabling developers to write more efficient and elegant code.

Language and framework support

Tabby supports multiple programming languages (e.g., Python, JavaScript) and frameworks, adapting to diverse developer needs.

Compatible IDE plugins

Tabby offers plugins for popular IDEs like Visual Studio Code and IntelliJ, letting developers use its features directly in familiar environments.

Self-hosted and customizable

Being self-hosted, Tabby lets users configure and run the server according to their own needs and security standards.

OpenAPI interface

Tabby provides an OpenAPI interface, making it easy for other applications and services to integrate and extend its functionality.

Use cases

Frontend and backend development: Get smart completions when writing React components or REST APIs

Data science: Speed up Python data analysis and machine learning script writing

Enterprise intranet development: Use an AI code assistant in offline or air-gapped environments

Multilingual projects: Seamlessly switch between multiple programming languages in one repository

Code review assistance: Reduce low-level errors with completion suggestions

Teaching and learning: Provide real-time coding guidance to programming beginners