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Tabnine

UnclaimedEditor reviewed

AI code completion for any IDE

AI CodingDeveloper ToolsAI Assistants
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Reviews onG2Capterra
51 reviews tracked

The Bottom Line

Entry price

Free plan available, paid tiers above

Biggest pro

Privacy options

Biggest con

Less capable than Copilot

TL;DR - Tabnine

  • AI code generation with your style
  • Tab to accept, natural completions
  • Works in VS Code, JetBrains, more
Pricing: Free plan available
Best for: Growing teams
4.3/5 across review platforms

What is Tabnine?

Editorial review
Tabnine is an AI coding assistant that provides code completions, chat, and workflow agents. Features enterprise-grade privacy with zero code retention.

Available on: Web

how we evaluateSourcetabnine.com ↗

Pros & Cons

Pros

  • Privacy options
  • Self-hosted option
  • Many IDE integrations
  • Team learning
  • Fair pricing

Cons

  • Less capable than Copilot
  • Suggestions basic
  • Enterprise expensive
  • Model limitations
  • Falling behind

Ratings Across the Web

4.3(51 reviews)
G246 reviews
4.1/5
Capterra5 reviews
4.6/5

Ratings aggregated from independent review platforms. Learn more

Key Features

AI code completionsIDE chatWorkflow agentsTest case generationJira integrationCode review agentAll major IDEsZero code retentionOn-premises optionEnterprise compliance

Pricing Plans

Agentic Platform

$59

  • AI code completions
  • Multi-line function implementation
  • AI-powered IDE chat
  • All major IDEs supported
  • Workflow AI agents
  • Unlimited codebase connections
  • Zero code retention
  • SaaS, VPC, on-premises, air-gapped
  • GDPR, SOC 2, ISO 27001
  • Governance controls
  • Advanced analytics
  • Priority support
Calculate your costView full pricing

Reviews

4.3/5

Across 51 verified user reviews on G2, Capterra

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Amazon CodeWhispererFreemium

AI coding companion from AWS for faster development

4.2
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CodeiumFreemium

AI code editor with intelligent completions and chat

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Tabnine FAQ

How does Tabnine's Enterprise Context Engine improve AI coding suggestions?

The Enterprise Context Engine moves beyond generic training data by learning an organization's specific architecture, frameworks, and coding standards. This allows it to adapt to mixed stacks and legacy systems, ensuring AI suggestions align with security, compliance, and performance requirements.

What deployment options are available for Tabnine to ensure data privacy and security?

Tabnine offers flexible deployment options including SaaS, on-premises, or fully air-gapped environments. This allows organizations to keep their code entirely within their controlled infrastructure, ensuring zero code retention, total privacy, and end-to-end encryption.

What kind of governance controls does Tabnine provide for AI usage within an enterprise?

Tabnine acts as an AI control plane, offering centralized visibility, granular access controls, and policy enforcement. It also provides full auditability across users, teams, and workspaces, allowing organizations to define clear boundaries and behaviors for AI and adjust it to their specific rules and risk profiles.

How does the Tabnine Agentic Platform enhance developer workflows beyond code completion?

The Agentic Platform includes agentic workflows and the Enterprise Context Engine, enabling autonomous agents with optional user-in-the-loop oversight. These agents can automate complex tasks like code changes and refactoring, and can use various tools through the Model Context Protocol (MCP) including Git operations, testing frameworks, and external services like Jira.

Which external services and code repositories can the Tabnine Agentic Platform connect to for organizational awareness?

The Tabnine Agentic Platform can connect to unlimited codebase connections for Bitbucket, GitHub, GitLab, and Perforce P4 (Helix Core). It also integrates with services like Jira and Confluence to understand an organization's context and apply coding standards consistently.

Source: tabnine.com

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