
Privacy-first AI coding platform with completions, chat, and agentic workflows
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About Tabnine
Tabnine is an enterprise AI coding platform built around a single differentiator: total control over where code lives and how AI uses it. The company traces its roots to Codota, founded in Tel Aviv in 2013 by Dror Weiss and Eran Yahav on research from the Technion. In 2019, Codota acquired the independently built TabNine autocomplete tool and, in May 2021, rebranded the entire company as Tabnine. Its 2019 "Deep TabNine" release, which fine-tuned GPT-2 on roughly two million GitHub files, predated GitHub Copilot by about two years, making Tabnine one of the earliest commercial AI coding assistants on the market. In 2026, Tabnine was acquired by Tricentis, the agentic quality engineering company, entering a new chapter under that ownership.
The platform is sold in two tiers. The Code Assistant Platform provides AI-powered code completions and in-IDE chat grounded in a customer's codebase, using leading LLMs from Anthropic, OpenAI, Google, Meta, Mistral, and others, or a customer's own privately hosted model. The Agentic Platform adds everything in the Code Assistant tier plus autonomous coding agents with optional human oversight, the Tabnine CLI for terminal-native agentic workflows, and the Enterprise Context Engine, which gives agents a structured understanding of an organization's architecture, dependencies, and coding standards so suggestions and automated changes align with real internal systems rather than generic training data. Every plan supports flexible deployment as SaaS, VPC, on-premises, or fully air-gapped, with zero code retention, no training on customer code, and compliance with GDPR, SOC 2, and ISO 27001.
Tabnine is built for engineering organizations in regulated, security-sensitive, or IP-sensitive industries, including semiconductor, aerospace and defense, banking, government, and pharmaceutical companies, where code cannot leave the organization's infrastructure. It was named a Visionary in the 2025 Gartner Magic Quadrant for AI Code Assistants and a Leader in the Omdia Universe 2025 report for No-Low-Pro IDE Assistants, and reports serving more than one million developers while generating over one percent of the world's code.
Key Features
- AI code completions for current-line and multi-line, full-function suggestions
- AI-powered in-IDE chat supporting every stage of the software development lifecycle
- Enterprise Context Engine that maps organizational architecture, dependencies, and coding standards
- Autonomous coding agents with optional human-in-the-loop oversight via Coaching Guidelines
- Tabnine CLI for terminal-native agentic coding, refactoring, and pull request automation
- Flexible deployment across SaaS, VPC, on-premises, or fully air-gapped environments
- Zero code retention with no training on customer code and no third-party data sharing
- Model Context Protocol support connecting agents to Git, Jira, Confluence, Docker, and CI/CD tools
Pros
- Zero code retention and no training on customer code, a core differentiator for IP-sensitive organizations
- Flexible deployment including fully air-gapped installs for the most security-conscious industries
- Supports multiple leading LLMs and allows bring-your-own-model for unlimited usage
- Enterprise Context Engine grounds AI suggestions and agents in real organizational architecture and standards
- One of the earliest and most established AI coding assistants, with over a decade of product maturity
Cons
- No public free tier anymore; entry pricing starts at $39 per user per month with annual commitment
- Recent acquisition by Tricentis introduces uncertainty around long-term product direction and roadmap
- Enterprise-grade governance and air-gapped deployment options are geared toward larger organizations, more than solo developers need
- Full agentic workflows and the Context Engine require the higher $59/user/month Agentic Platform tier
Pricing
Tabnine no longer offers a public free tier and is sold as two annual-subscription plans. The Code Assistant Platform costs $39 per user per month and includes AI code completions, in-IDE chat across leading LLMs, Atlassian Jira integration, flexible deployment (SaaS, VPC, on-prem, or air-gapped), zero code retention, SSO, and enterprise compliance (GDPR, SOC 2, ISO 27001). The Agentic Platform costs $59 per user per month and includes everything in the Code Assistant Platform plus autonomous coding agents, the Tabnine CLI, and the Enterprise Context Engine with unlimited codebase connections to Bitbucket, GitHub, GitLab, and Perforce. Usage is unlimited when customers bring their own on-prem or cloud LLM endpoint; using Tabnine-provided LLM access requires a reserved token consumption quota billed at the underlying LLM provider's price plus a 5% handling fee. A Headless Agents add-on for CI/CD use is priced separately. Exact quotes require contacting Tabnine sales, as pricing is not self-serve.
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Frequently Asked Questions
Tabnine is an enterprise AI coding platform offering code completions, AI chat, and agentic workflows that are grounded in an organization's own codebase, deployable via SaaS, VPC, on-premises, or fully air-gapped environments for maximum code privacy.
Tabnine started in 2013 as Codota, a Tel Aviv startup built on Technion research into program synthesis. In 2019 Codota acquired the independently built TabNine autocomplete tool and rebranded the whole company to Tabnine in May 2021. In 2026 Tabnine was acquired by Tricentis, the agentic quality engineering company.
Tabnine offers two paid plans billed annually: the Code Assistant Platform at $39 per user per month for completions and IDE chat, and the Agentic Platform at $59 per user per month, which adds autonomous coding agents, the Tabnine CLI, and the Enterprise Context Engine.
Yes. Tabnine offers zero code retention, meaning it does not store your code or train its models on it, and it never shares your code with third parties, regardless of whether you use its SaaS, VPC, on-premises, or air-gapped deployment options.
Yes. Tabnine supports leading LLMs from Anthropic, OpenAI, Google, Meta, Mistral, and others, letting developers choose their preferred model, or use their own privately hosted or on-prem LLM for unlimited usage.
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