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The Tabnine
AI Coding Platform

Tabnine is a fully private, organization-aware AI coding platform designed to run entirely within your environment. It connects to your repositories, IDEs, and development systems to deliver real-time, secure code assistance and automated workflows across the software lifecycle.

Tabnine is a fully private, organization-aware AI coding platform designed to run entirely within your environment. It connects to your repositories, IDEs, and development systems to deliver real-time, secure code assistance and automated workflows across the software lifecycle.

Supercharge your AI with MCP

With full MCP support, Tabnine agents can securely connect to the tools and data that power your software development lifecycle. MCP provides a unified, governed interface that lets agents read Jira tickets, analyze logs, pull documentation, and call approved services — without brittle integrations or security gaps.

Steerable AI with Flexible Model Choice

Pick the right model for each use case — leading frontier models or OSS — then steer its behavior with guardrails, prompts, and team-level preferences. Tabnine gives engineering organizations full control over how AI reasons, responds, and writes code.

AI That Accelerates Real Development Work

Tabnine brings practical, developer-first AI directly into your workflow. It generates code, completes functions, explains complex logic, and refactors existing code — all inside your IDE. From fixing bugs to writing tests and documentation, Tabnine automates the repetitive work so your team can focus on building what matters.

Watch Tabnine bring a feature to life

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

Tabnine’s Enterprise Context Engine is what makes AI coding truly enterprise-ready. Instead of guessing from generic training data, it learns your organization’s unique architecture, frameworks, and coding standards. It adapts to your mixed stacks and legacy systems, ensuring every suggestion aligns with your security, compliance, and performance requirements. By embedding enterprise knowledge directly into the coding experience, Tabnine transforms AI from a novelty into a governed, context-aware teammate that codes the way your enterprise works.

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

Yes. Tabnine maps dependencies, architecture, and workflows to deliver more relevant and accurate code suggestions.
Yes. You can configure precise context settings to ensure Tabnine only uses information you approve.
Tabnine can use your current file, open files, terminal output, and repository history to improve accuracy.
Tabnine offers AI agents for every stage of the SDLC, from planning and code creation to testing and documentation.
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.