AI code completion tool that learns from your coding patterns and provides highly personalized suggestions.
| Core Competency | Code Completion, Privacy-conscious Development, Personalized AI |
|---|---|
| AI Architecture | Proprietary: Custom-trained models |
| Context Window | Tabnine is context-aware, analyzing your local IDE environment and project files to provide relevant suggestions. The Enterprise plan allows connecting to an organization's entire codebase (GitHub, GitLab, Bitbucket) for more deeply personalized, context-aware recommendations. |
| Deployment | Enterprise: Cloud, On-premise, Air-gapped |
| Offline Support | Yes - Local operation supported |
| IDE Integration | Tabnine supports a wide range of IDEs, including VS Code, the JetBrains suite (IntelliJ, PyCharm, WebStorm, etc.), Visual Studio, Eclipse, and Neovim. |
| Company Maturity | NaN years |
| Pricing Model | Standard - Individual developers |
Visual breakdown of this tool's performance across six key evaluation criteria
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Tabnine stands out for its privacy-first approach and highly personalized AI suggestions. It can run locally and learn from your specific coding patterns, making it ideal for organizations with strict privacy requirements or developers who want AI assistance tailored to their unique coding style and project requirements.
Tabnine offers solid AI development capabilities with specific technical strengths. Its multi-model architecture leveraging both Anthropic and OpenAI technologies provides exceptional versatility. Unique offline capabilities make it suitable for security-conscious enterprise environments. Flexible deployment options address diverse enterprise security and compliance requirements. Optimized for enterprise team workflows with collaborative development features.
**Experienced developers** working in specialized domains or with specific technical requirements. Particularly suited for **security-conscious organizations** in finance, healthcare, or government sectors requiring on-premise deployments.
Status: Private
Founded: The original TabNine was created in 2018 by Jacob Jackson. The parent company, Codota, was founded in 2013 by Dror Weiss and Eran Yahav, and acquired TabNine in 2019 before rebranding to Tabnine in 2021.
Backing: Tabnine has raised a total of $55 million over 6 rounds. Key investors include Telstra Ventures, Atlassian Ventures, Qualcomm Ventures, Khosla Ventures, and Headline.
Tabnine uses its own proprietary, private AI models for code completion and chat. It also allows users to switch to third-party models from providers like Anthropic (Claude), OpenAI (GPT), Cohere, and...
Tabnine supports Tabnine supports a wide range of IDEs, including VS Code, the JetBrains suite (IntelliJ, PyCharm, WebStorm, etc.), Visual Studio, Eclipse, and Neovim..
Yes, Tabnine supports offline mode. Yes, Tabnine's AI can run locally on a developer's machine, on a server behind a firewall, or in the cloud, supporting offline use cases.
Tabnine scores 86/100 versus Claude Code's 98/100. Tabnine excels at Code Completion and Privacy-conscious Development, while Claude Code is known for Agentic Coding and Complex Refactoring.
Tabnine is best suited for Code Completion, Privacy-conscious Development, Personalized AI. Personalized code completion that learns from your team's coding patterns and maintains consistency
Tabnine is context-aware, analyzing your local IDE environment and project files to provide relevant suggestions. The Enterprise plan allows connecting to an organization's entire codebase (GitHub, Gi...
Primary references: blog, docs, release notes, API, and status pages.
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