Tabby
Open-source, self-hosted AI coding assistant – a private alternative to GitHub Copilot with code completions, chat, and offline deployment.
Tool overview
Tabby is a fully open-source AI coding assistant designed for self-hosting. It provides real-time code completions, multi-line code generation, function/class generation, error detection, and code optimization, supporting languages like Python, JavaScript, Java, Go, and TypeScript. With plugins for VS Code and JetBrains, it integrates directly into developers’ workflows. Deployed via Docker, users can run Tabby on their own servers or private clouds, eliminating reliance on external cloud services and ensuring full control over code and data.
Its main strengths are data privacy and customizability: all code stays local, with no third‑party access. Tabby supports various large language models (e.g., StarCoder, CodeLlama) and allows fine‑tuning with your own codebase, aligning suggestions with team practices. The hybrid CPU/GPU inference architecture ensures smooth operation even on low‑end hardware, while RAG enrichment improves completion accuracy.
However, Tabby requires self‑deployment and maintenance—users need familiarity with Docker, reverse proxies, and GPU configuration.