Tabby is built as a self-hosted AI coding assistant server rather than a single-editor client. Teams deploy Tabby on their own infrastructure and connect supported IDE extensions, which keeps source code and prompts inside organization-controlled environments.
This architecture is useful for regulated industries or internal security policies that restrict external API usage. Instead of routing code context through third-party hosted assistants, teams can run Tabby behind their own network controls and manage access centrally.
Tabby also supports common developer workflows through extensions and an API-compatible interface, making it practical for organizations standardizing AI assistance across multiple editors. It is often chosen when compliance, data residency, and private deployment are primary requirements.
