description TabbyML Overview
TabbyML is a self-hosted tool offering real-time code completion powered by machine learning. It integrates directly with popular Integrated Development Environments like VS Code and JetBrains IDEs through an API. Primarily designed for developers seeking enhanced coding assistance and improved productivity during software development, TabbyML provides intelligent suggestions based on context and existing codebase.
help TabbyML FAQ
Is TabbyML free and open source?
Yes — Tabby is an open-source, self-hosted AI coding assistant with its code publicly maintained on GitHub under the tabbyml/tabby project. That contrasts with subscription cloud services like GitHub Copilot.
Does Tabby work with VS Code and JetBrains IDEs?
Yes, Tabby offers extensions for VS Code and JetBrains IDEs like IntelliJ, connecting to your self-hosted Tabby server through its API. Community plugins exist for other editors like Vim as well.
Does my code leave my machine when using Tabby?
No — that's its headline feature. Because the model runs on your own hardware or private server, your code never gets sent to a third-party cloud, which is why companies with strict code-privacy rules adopt it as a Copilot alternative.
What hardware do I need to run Tabby?
Tabby can run on a consumer GPU or even CPU-only, loading open coding models directly from its model registry — smaller models run on modest hardware at the cost of suggestion quality. For team-wide use, most deployments put the Tabby server on a machine with a decent GPU and point everyone's IDE extensions at it.
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