Tabnine

Tabnine

AI code completion plugin

Coding Application

What it's used for

Tabnine is a privacy-first AI code assistant designed for enterprises that cannot send proprietary code to third-party cloud services. It offers the unique ability to run AI models entirely on-premises or in your private cloud, making it the go-to choice for organizations in regulated industries like finance, healthcare, and defense.

  • Inline code completions — context-aware suggestions across 30+ programming languages, from single-line to whole-function generation
  • AI chat — conversational assistance for code explanation, generation, test writing, and documentation
  • Code review — AI-powered suggestions during code review to catch bugs and suggest improvements
  • Private deployment — run the AI model on your own servers or VPC with zero data leaving your network
  • Personalization — train on your team's codebase to learn your patterns, naming conventions, and internal libraries

Enterprise development teams in regulated industries choose Tabnine because it solves the core tension between wanting AI-powered productivity and needing strict data privacy. Your code never leaves your infrastructure, and the model can be fine-tuned on your specific codebase for highly relevant suggestions.

Tabnine supports VS Code, JetBrains IDEs, Neovim, Eclipse, and other popular editors. It works with virtually every programming language and integrates with existing enterprise development workflows.

Getting started

  1. Install the Tabnine extension from your IDE's marketplace:
  2. Create a Tabnine account at app.tabnine.com to activate the extension.
  3. Pricing:
    • Basic (Free): Short code completions, limited AI chat
    • Dev ($12/mo): Full-line and full-function completions, AI chat, personalized suggestions
    • Enterprise (Custom pricing): Self-hosted deployment, SSO, SCIM, codebase personalization, compliance controls
  4. For enterprise/private deployment: Contact Tabnine sales for on-premises installation. The model runs on your infrastructure using Docker containers, supporting air-gapped environments.
Tip: Tabnine's completions improve significantly over time as it learns your coding patterns. For the best experience, ensure the extension has access to your full project context by keeping related files open. Enterprise teams should explore team personalization to train the model on internal libraries and conventions.

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