Tabnine

What it does

Tabnine is an AI coding assistant that runs inside your development environment and connects to your repositories and development systems. It provides real-time code completions while you type, and a chat interface for questions about your codebase and coding tasks. Tabnine Agent can be used through the CLI or IDE to carry out coding tasks.

Developers install the Tabnine plugin in their IDE, sign up or join a Tabnine team, and activate the plugin with their user. Completions suggest code from current context, including full-function implementations, and Tabnine Chat handles higher-level requests through natural-language prompts, built-in actions, or CodeLens. Administrators can review usage, manage teams and users, and govern how the organization uses Tabnine.

Tabnine suits engineering teams using supported IDEs and organizations with private deployment requirements. Tricentis announced its acquisition on July 30, 2026, and the current Tabnine documentation still describes installation and coding-agent use. Public commercial pages now redirect to Tricentis, so confirm new-account access, current plans and deployment terms before adoption. Existing teams should follow their installation arrangement and review generated code and agent actions before accepting changes.

What it can do

• Real-time AI code completions based on current context
• Comments-to-code completions triggered by documentation comments
• Tabnine Chat for natural-language coding questions and tasks
• Tabnine Agent usable from CLI or IDE for coding tasks
• Admin controls for usage analytics, team and user management
• Enterprise Context Engine for organization-aware context (per Tricentis acquisition announcement)

Works with

• Visual Studio Code
• JetBrains IDEs (IntelliJ, PyCharm, WebStorm, PhpStorm)
• Visual Studio 2022 and 2026
• Eclipse

Example workflows

Completing a function from a doc comment

Illustrative example. Input: a documentation comment describing a function in the IDE. Steps: write the comment, let Tabnine suggest a full-function implementation, accept or partially accept it. Output: suggested code inserted into the editor.

Asking Tabnine Chat about the codebase

Illustrative example. Input: selected code and a natural-language question. Steps: launch Tabnine Chat from the IDE, ask or instruct it using built-in actions or CodeLens, review the answer, apply it if useful. Output: an answer that can be applied to the code.

Before you choose

• Chat model is trained mainly on code with a small English text subset; English is the primary supported language.
• Completions are designed for code context, not high-level design or general questions; use Chat for those.
• Installation steps differ between Tabnine SaaS and private installation; confirm with your team which applies.

Listed under

• Coding

Get started

Follow the current guide and confirm account access with your organization.

1. Confirm current account access and deployment terms with your organization or Tricentis.
2. Follow the Tabnine installation guide for the supported IDE or CLI.
3. Authenticate through the agreed team or private deployment and review generated changes.

Tricentis announced its acquisition of Tabnine on July 30, 2026. Active Tabnine documentation remains available, while public commercial pages redirect to Tricentis. Confirm current plans, new-account access and deployment terms directly; previous plan prices are not carried forward.

We couldn’t find published prices for Tabnine. See their pricing page ↗

Sources for this overview

Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.

• Overview | Tabnine Docs ↗docs.tabnine.com
• Tricentis acquires Tabnine ↗www.tricentis.com
• Install | Tabnine Docs ↗docs.tabnine.com
• Quickstart Guide | Tabnine Docs ↗docs.tabnine.com

Company website

docs.tabnine.com: product, pricing and policy pages

YC directory mirror

Batch and company name

Human review

Checked by a person

knowledge_base

Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.