The startup develops an AI coding assistant that provides multi-line and full-function code suggestions, enabling developers to increase coding efficiency. It also offers tools for auditing codebases for security and compliance, and supports model fine-tuning in continuous integration for scalable machine learning systems.
Funding
$7.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many software development teams struggle with coding inefficiencies, security vulnerabilities, and compliance issues within their codebases. Existing AI coding assistants often lack transparency, flexibility, and seamless integration with existing infrastructure.
Solution
Tabby is an open-source, self-hosted AI coding assistant designed to enhance developer productivity while ensuring security and control. It provides intelligent code completion, real-time answers to coding questions, and inline chat capabilities directly within the IDE. Tabby's context providers allow integration with various data sources, enriching the AI's understanding of the project's unique context. The platform supports flexible deployment options, including cloud IDEs and consumer-grade GPUs, without requiring external database management systems or cloud services. By optimizing the entire stack, from IDE extensions to model serving, Tabby delivers rapid code completion and improves overall developer experience.
Target Audience
Tabby is designed for individual developers, freelancers, small teams, and larger development teams seeking to improve coding efficiency, enhance security, and maintain control over their AI coding assistant.
Features
- AI-powered code completion engine that provides real-time, context-aware suggestions
- Answer Engine for instant coding answers within the IDE
- Inline chat feature for real-time collaboration and AI-driven suggestions
- Context Providers for seamless integration with documentation, configuration files, and external APIs
- Support for various languages, libraries, and IDEs, including VS Code, Neovim, and IntelliJ
- Flexible deployment options, including Docker, Homebrew, and Hugging Face Space
- Open-source solution ensuring software supply chain safety and transparency
- Integration with major Coding LLMs (CodeLlama, StarCoder, CodeGen)