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Tabnine

Tabnine is an AI coding platform for developers and engineering organizations, bringing code completion, conversational assistance, and software-development agents into the development workflow.

AI codingAI agentsCode assistantsWorkflow automationProductivityPaid
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Plans and pricing

Official pricing verified
Access
Paid
Paid plans from
$39/mo (billed annually)
Billing
Monthly subscription

Code Assistant

$39/mo (billed annually)

Agentic Platform

$59/mo (billed annually)

Official pricing

Official sources

Verified: September 8, 2026

DevPrice organizes public information and does not sell Tabnine subscriptions. Prices and availability are determined by Tabnine.

What is Tabnine?

Tabnine is an AI coding platform for developers and engineering organizations, bringing code completion, conversational assistance, and software-development agents into the development workflow. It can use the current file, open files, terminal output, and repository history to understand dependencies and architecture before producing project-aware suggestions. Developers may also provide particular files, functions, or properties as chat context for code creation, explanation, repair, testing, and documentation work.

The platform can run in the cloud, on premises, or in an air-gapped environment, giving enterprise teams control over where code-related processing occurs. Administrators can configure which context is approved, developers can select among supported models, and the capabilities are accessed through supported IDE integrations. Useful results therefore depend on an installed IDE integration, configured context, and repository information the organization permits; an isolated deployment also requires the model and supporting infrastructure to run inside that environment.

Key features of Tabnine

  • Project-aware completion

    Uses current code and project context to suggest tokens, full lines, or multiline blocks for repeated patterns, interface use, and changes aligned with the codebase.

  • Configurable code context

    Can draw on the current file, open files, terminal output, and repository history while allowing teams to configure exactly which information is approved.

  • Software lifecycle agents

    Provides agents spanning planning, code creation, testing, and documentation to address multiple kinds of work across the software development lifecycle.

  • Flexible deployment control

    Supports cloud, on-premises, and air-gapped deployment with model choice, while an IDE integration and the corresponding runtime infrastructure are required.