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  1. Tabnine is an AI code assistant that helps you generate, explain, and fix code in any language and IDE. It respects your privacy, supports your workflow, and protects your IP with zero data retention and indemnification.

    • Get Tabnine

      Get Tabnine - Tabnine AI code assistant | Private,...

    • Pricing

      AI chat agents personalized to your entire codebase (e.g.,...

    • Code Privacy

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    • Docs

      Docs - Tabnine AI code assistant | Private, personalized,...

    • Blog

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    • AI code generator

      Tabnine originated the AI code assistant category with a...

  2. Tabnine originated the AI code assistant category with a built-for-purpose code completion model designed to deliver the fastest, most accurate output. Tabnine combines our custom-developed LLM and context from the code in your project to generate highly personalized recommendations.

  3. Tabnine is the AI code assistant that accelerates and simplifies software development while keeping your code private, secure, and compliant. Why Tabnine? Best-in-class AI code generation – Streamline code generation and automate mundane tasks

  4. en.wikipedia.org › wiki › TabnineTabnine - Wikipedia

    Tabnine is an AI coding assistant designed to be under the control of an engineering team. It helps development teams use AI to accelerate and simplify the software development process with a focus on privacy, security, and license compliance.

  5. Tabnine is the AI code assistant that accelerates and simplifies software development while keeping your code private, secure, and compliant. Tabnine boosts engineering velocity, code quality, and developer happiness by automating the coding workflow through AI tools customized to your team.

  6. Tabnine is an AI code assistant that makes you a better developer | Trusted by millions of developers | Supports all programming languages and IDEs

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  8. Tabnine provides AI assistance for software developers directly in the IDE, helping to streamline various daily software development tasks, including the following: Writing new code. Accelerating unit testing. Extending and refactoring existing code. Understanding existing or legacy code. Generating documentation. Generating boilerplate code.

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