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Tabnine

Updated: Sep 11, 2026

AI code assistant with enterprise control — deploy on-prem or air-gapped, get context-aware code completions and agentic workflows that learn your codebase

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About Tabnine

Overview

Tabnine is an AI code assistant platform that provides code completions, AI-powered chat, and agentic workflows for software development teams. It integrates directly into popular IDEs and supports secure, enterprise-grade deployments across SaaS, VPC, on-premises, and fully air-gapped environments.

The platform solves the problem of making AI coding assistants reliable in enterprise settings by providing a context layer that learns an organization's unique architecture, frameworks, and coding standards. Unlike generic AI coding tools, Tabnine embeds organizational knowledge into the coding experience through its Enterprise Context Engine.

Key Benefits

  • Deploy anywhere — SaaS, on-premises, VPC, or fully air-gapped — keeping all code inside your infrastructure
  • Zero code retention policy with no storage, no training on your code, and no sharing with third parties
  • Named a Visionary in the 2025 Gartner Magic Quadrant for AI Code Assistants
  • Provides centralized visibility, granular access controls, policy enforcement, and full auditability across users, teams, and workspaces
  • Meets enterprise compliance standards including GDPR, SOC 2, and ISO 27001
  • License-safe AI usage with built-in protection against licensing risks and IP indemnification

How It Works

A developer installs the Tabnine plugin into their IDE, then connects their organization's code repositories — Bitbucket, GitHub, GitLab, or Perforce Helix Core. The Enterprise Context Engine indexes the codebase to learn the organization's architecture, coding standards, and frameworks, then serves context-aware code completions (single tokens or multi-line blocks) and powers an AI chat assistant that supports the full software development lifecycle. Administrators configure governance controls, permissions, and LLM access policies through a centralized control plane.

Use Cases

  • Enterprise engineering teams — deploy AI code assistants across the organization while maintaining compliance with SOC 2, GDPR, and ISO 27001 requirements
  • Security-conscious development teams — run the AI assistant fully air-gapped with zero code retention to protect proprietary code
  • Platform engineering teams — integrate the Context Engine with Jira, Confluence, databases, Docker, and CI/CD pipelines via the Model Context Protocol
  • Engineering managers — gain visibility into adoption, cost, and compliance through centralized analytics and usage metrics per user and team
  • DevOps teams — use the Tabnine CLI to automate code changes, refactoring, and pull requests directly from the terminal and CI pipelines
  • Mixed-stack development teams — work across legacy systems and modern stacks with support for multiple LLMs and cloud providers

Why Choose This Product

Tabnine is best suited for enterprises and security-conscious teams that need full control over where their code lives and how the AI is governed. It is not designed for individual developers seeking a free or low-cost AI coding assistant — the platform starts at $39 per user per month with an annual subscription and offers no free tier.

Tabnine Pros & Cons

Strengths
  • Named a Visionary in 2025 Gartner Magic Quadrant for AI Code Assistants
  • Zero code retention policy — no training on customer code
  • Deployable on-prem, VPC, SaaS, or fully air-gapped
  • Supports multiple LLMs from Anthropic, OpenAI, Google, Meta, Mistral
  • Integration with Jira, Confluence, Git platforms, Docker, and CI/CD tools
Limitations
  • Pricing requires annual subscription commitment
  • No free tier available — only paid plans starting at $39/user/month
  • Unlimited usage only when using your own LLM on-prem

Key Features

AI Code Completions

Suggests single tokens or multi-line code blocks based on project context and learns the developer's coding style over time.

💬

AI Chat in IDE

AI-powered chat inside the IDE that supports code understanding, refactoring, and every step of the SDLC using leading LLMs.

🤖

Agentic Workflows

Autonomous coding agents that can use tools via MCP, run in the terminal, and automate code changes and pull requests.

🧠

Enterprise Context Engine

Learns an organization's unique architecture, frameworks, and coding standards to make AI suggestions contextually relevant.

📊

Admin Analytics

Centralized dashboard for visibility into AI adoption, cost, user/team usage metrics, and code generation provenance.

🔐

Governance Controls

Define AI boundaries, governance controls, LLM access per user/team, and usage thresholds from a single control plane.

💻

Tabnine CLI

Terminal-native AI agent that automates tasks like code changes, refactoring, and pull requests in local and CI environments.

🔌

MCP Tool Integration

Connects to Git, Jira, Confluence, databases, Docker, package managers, and CI/CD systems through the Model Context Protocol.

🛡️

Flexible Deployment

Supports SaaS, VPC, on-premises, and fully air-gapped deployment with zero code retention and end-to-end encryption.

Tabnine Pricing

View full pricing →
Code Assistant
$39/mo
  • AI code completions for single and multi-line blocks
  • AI-powered chat in the IDE using leading LLMs
  • Works in all major IDEs
  • Integration with Jira Cloud and Data Center
  • Zero code retention and total privacy
  • Enterprise compliance: GDPR, SOC 2, ISO 27001
Most popular
Agentic
$59/mo
  • Everything in Code Assistant
  • Autonomous agents with user-in-the-loop oversight
  • Tabnine CLI for terminal-native AI
  • Context Engine with unlimited codebase connections
  • MCP tool support for Git, Jira, Docker, CI/CD
  • MCP governance controls and usage thresholds
Compare plans
Feature
Code Assistant
$39/mo
Agentic
$59/mo
AI code completions for single and multi-line blocks
AI-powered chat in the IDE using leading LLMs
Works in all major IDEs
Integration with Jira Cloud and Data Center
Zero code retention and total privacy
Enterprise compliance: GDPR, SOC 2, ISO 27001
Everything in Code Assistant
Autonomous agents with user-in-the-loop oversight
Tabnine CLI for terminal-native AI
Context Engine with unlimited codebase connections
MCP tool support for Git, Jira, Docker, CI/CD
MCP governance controls and usage thresholds

Pricing extracted from the product website and may change. Check the source for current details.

Frequently asked questions about Tabnine

How much does Tabnine cost and what are the plan options?

Tabnine offers two paid tiers. The Code Assistant Platform costs $39 per user per month and includes code completions, AI chat in the IDE, and integrations with Jira. The Agentic Platform costs $59 per user per month and adds agentic workflows, the Context Engine, Tabnine CLI, and MCP tool support. Both require an annual subscription.

Can Tabnine be deployed on-premises or in an air-gapped environment?

Yes. Tabnine can be deployed on SaaS, in your own VPC, on-premises, or fully air-gapped. This gives teams complete control over where their code resides.

How does Tabnine handle code privacy and security?

Tabnine stores none of your code, does not train on your code, and does not share it with third parties. It offers end-to-end encryption, TLS, SSO integration, and meets GDPR, SOC 2, and ISO 27001 compliance standards.

Which IDEs and AI models does Tabnine support?

Tabnine works in all major IDEs and supports leading LLMs from Anthropic, OpenAI, Google, Meta, Mistral, and others. Administrators can control which LLMs are available per user or team.

Is Tabnine free?

Tabnine is a paid product. See the pricing section for current plans and starting prices.

How much does Tabnine cost?

Tabnine offers the following plans: Code Assistant, Agentic. See the pricing section for what's included in each tier and any per-seat or usage-based costs.

How Tabnine compares

 
Tabnine logo
TabnineThis
Starting price$39/moFree
Pricing modelPaidFreemium
PlatformsmacOS, Windows, LinuxWeb, Windows, macOS, Linux
Top features
  • AI Code Completions
  • AI Chat in IDE
  • Agentic Workflows
  • AI Code Completion
  • Agent Mode
  • Copilot Spaces
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