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The Tabnine
CLI

Meet the Tabnine CLI: a fully autonomous or guided AI coding agent that runs natively in the terminal, executes real workflows (not just snippets), and brings enterprise context + governance to every environment you ship from.

Meet the Tabnine CLI: a fully autonomous or guided AI coding agent that runs natively in the terminal, executes real workflows (not just snippets), and brings enterprise context + governance to every environment you ship from.

Develop <span>your way</span>

Develop your way

The Tabnine CLI is a terminal-native AI coding agent. Instead of living inside an IDE panel, it runs directly where developers already work, so AI can participate in the real software lifecycle, not just the “typing code” part.

A CLI with Coaching Guidelines

Coaching Guidelines are available as a native MCP tool in both the CLI and IDE. This allows agents to follow built-in best practices and organization-specific standards as they generate or modify code, helping ensure consistency, quality, and alignment with how your teams actually build software.

Automate Real Development Work

Automate Real Development Work

The Tabnine CLI isn’t just for generating code—it helps complete real engineering workflows.

Examples include:

• Implementing features from a description
• Refactoring code across files
• Writing or updating tests
• Running commands and validating results
• Creating branches and opening pull requests
• Reviewing pull requests in CI pipelines


By combining planning, execution, and review, the CLI helps teams move from idea to working code faster.

Watch the Tabnine CLI in action

Watch Tabnine take a feature from JIRA ticket to working code — analyzing the issue, proposing the fix, and implementing it.

Enterprise Context for Smarter Agents

One of the biggest limitations of most coding agents is context. They can see the files in front of them, but they often lack understanding of how systems work at an organizational level.
The Tabnine CLI connects to the same enterprise context capabilities that power the broader Tabnine platform. That means the agent can reason not only about the local codebase, but also about architecture, conventions, and organizational knowledge when those systems are available.
For developers, this translates into more relevant suggestions and fewer blind spots. For organizations, it means AI that aligns with how software is actually built inside the company—not how generic examples look on the public internet.

Built for Mission-Critical and Highly Secure Environments

Deploy anywhere — SaaS, on-prem, or fully air-gapped — and keep everything inside. Tabnine gives mission-critical teams the control and compliance to scale AI securely across the enterprise.

Your AI control plane for trusted software development.

Tabnine gives you centralized visibility, granular access controls, policy enforcement, and full auditability across users, teams, and workspaces — all in one secure place.

Learn why millions of developers choose Tabnine and why Tabnine is a 2025 Gartner Magic Quadrant Visionary.

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More Features

Enterprise-Grade Security & IP Protection

Zero data retention, no training on your code, license-aware safeguards, and enterprise indemnification built in.

Provenance & Traceability

Full transparency into what context, tools, and data sources were used to generate every AI output

MCP Safeguards

Control which MCP servers Agents have access to

Measurable Productivity & ROI

Visibility into adoption, usage, and impact so teams can justify investment with real outcomes.

Coaching Guidelines & Code Review

Ensure Agents deliver code in accordance with your organization coding standards

Transparent Pricing

Enjoy direct LLM token billing without a markup, and remain in full control over token usage

FAQ

FAQ

It is a terminal-based AI coding agent that can analyze repositories, execute tasks, modify code, and assist with workflows that extend beyond code generation.
IDE assistants focus primarily on writing code. The CLI is designed to help with broader engineering workflows, including investigation, automation, and integration into pipelines.
Yes. The Tabnine platform supports deployment models that allow organizations to operate in environments with strict security or compliance requirements.
When connected to enterprise context and guidelines, the agent can align with internal practices and conventions.
Yes. Tabnine supports multiple models and lets developers select the one they prefer.
Yes. In air-gapped or secure environments, no data leaves your infrastructure.