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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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