Tabnine

AI code completion with private, self-hosted and air-gapped deployment options.

Paid Coding & Development
Visit Website ↗ by Tabnine

What is Tabnine?

Tabnine is an AI coding assistant whose defining angle is privacy and control: inline completions, in-editor chat and agentic workflows that can run as SaaS, in your own VPC, on-premises or fully air-gapped, with zero code retention so your code never trains shared models. It offers models from Anthropic, OpenAI, Google, Meta and Mistral, supports team models trained on your private codebase, and runs across VS Code, JetBrains, Vim/Neovim, Eclipse, Visual Studio and more. Compliance documentation for GDPR, SOC 2 and ISO 27001 plus license attribution makes it a standard pick for regulated industries like finance, healthcare and defense.

Key features

  • Inline AI completions and in-editor chat
  • Agentic workflows with MCP tool integration
  • SaaS, VPC, on-premises and air-gapped deployment
  • Zero code retention
  • Team models trained on your private codebase
  • Broad IDE support
  • GDPR, SOC 2 and ISO 27001 compliance

Watch: Tabnine tutorial

Code Faster with Tabnine AI Assistant Code Faster with Tabnine AI Assistant — Nilesh Gule

Video by Nilesh Gule on YouTube — plays here without leaving this page.

Pros

  • Strongest privacy story among coding assistants
  • True air-gapped option for regulated industries
  • Team models adapt to your house style

Cons

  • Paid-only from $39/user/month as of late 2026
  • Completions shorter and less aggressive than Copilot's
  • Enterprise deployment adds setup overhead

Tabnine at a glance

PricingPaid
CategoryCoding & Development
Platformsweb, windows, macos, linux
CompanyTabnine
Official websitewww.tabnine.com
code-completionprivacyself-hostedair-gappedenterpriseide

How to choose the right Coding & Development tool

The right coding tool depends on where you write code and how much of your codebase it can understand. IDE integration is the first filter — a tool that lives in your editor, sees your project files and respects your stack will help far more than a general chatbot you paste snippets into. Look for accurate completions, clear explanations of suggested changes, and strong refactoring and debugging support for your main languages. Privacy deserves real attention: check whether your code is used for training, and whether a self-hosted or enterprise option exists for sensitive projects. Price against the hours it actually saves — most developers feel the difference within the first week of real use.

Compare all Coding & Development tools →

Tabnine FAQs

What is Tabnine?

Tabnine is an AI coding assistant whose defining angle is privacy and control: inline completions, in-editor chat and agentic workflows that can run as SaaS, in your own VPC, on-premises or fully air-gapped, with zero code retention so your code never trains shared models. It offers models from Anthropic, OpenAI, Google, Meta and Mistral, supports team models trained on your private codebase, and runs across VS Code, JetBrains, Vim/Neovim, Eclipse, Visual Studio and more. Compliance documentation for GDPR, SOC 2 and ISO 27001 plus license attribution makes it a standard pick for regulated industries like finance, healthcare and defense.

What are the main features of Tabnine?

Tabnine offers Inline AI completions and in-editor chat, Agentic workflows with MCP tool integration, SaaS, VPC, on-premises and air-gapped deployment, Zero code retention, Team models trained on your private codebase, Broad IDE support and GDPR, SOC 2 and ISO 27001 compliance.

How much does Tabnine cost?

Tabnine is a paid product. Prices and plans change over time, so check its official website for the current pricing before you buy.

What are the pros and cons of Tabnine?

Strengths of Tabnine include Strongest privacy story among coding assistants; True air-gapped option for regulated industries; Team models adapt to your house style. On the downside, Paid-only from $39/user/month as of late 2026; Completions shorter and less aggressive than Copilot's; Enterprise deployment adds setup overhead.