Tabby

Tabby is an open-source, self-hostable AI coding assistant that gives developers and teams AI-powered code completion they can run entirely on their own infrastructure. It positions itself as a private, controllable alternative to cloud-based copilots — ideal for organizations and individuals who want the productivity benefits of AI code suggestions without sending their code to a third-party service. Being open source and self-hosted, Tabby keeps your code and AI processing under your control, addressing the privacy and security concerns that hold many teams back from adopting cloud AI coding tools.

Functionally, Tabby provides AI autocomplete and coding assistance inside popular editors, suggesting code as you type and helping you write faster. Because you host it yourself, you can run it on your own hardware (including on-premises or in your private cloud), choose the models it uses, and ensure that sensitive or proprietary code never leaves your environment. This is especially valuable for companies in regulated industries, those with strict security requirements, or any team that simply prefers to own its tooling and data rather than depend on an external provider.

As an open-source project, Tabby benefits from community contributions and transparency — you can inspect how it works, customize it, and avoid vendor lock-in — while remaining free to use. It supports common programming languages and integrates with the editors developers already use. This makes it a compelling option for privacy-conscious developers, security-focused organizations, and anyone who wants AI coding assistance on their own terms. As AI coding tools become standard but concerns about code privacy and dependence on big providers grow, self-hostable, open-source options fill a real and important niche. For developers and teams who want capable AI code completion while keeping full control over their code and infrastructure, Tabby offers a private, flexible and genuinely valuable solution.