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Tabby

A self-hosted, open-source AI coding assistant that supports multiple LLM backends and runs entirely on-premise for maximum security.


Overview

Tabby allows organizations to deploy their own AI coding assistant using open-source models like StarCoder or Llama. It provides autocomplete and chat features within VS Code and JetBrains, ensuring that no code data leaves the internal network.

Best for

  • Security-conscious enterprises
  • Teams with existing GPU infrastructure
  • Cost-sensitive deployments with local LLMs

Trade-offs

vs Cursor
Tabby is better for data privacy and self-hosting; Cursor is better for ease of setup and access to top-tier proprietary models.

What XeroHack pre-wires

When you pick Tabby in the interview, the engine emits these files into your scaffold:

  • Default local model selection
  • VS Code extension config
  • JetBrains plugin config

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