Tabnine is an AI-powered code completion tool designed to enhance developer productivity and streamline the software development lifecycle. Founded in 2012 by Dror Weiss and Eran Yahav, Tabnine offers intelligent code suggestions, automates repetitive tasks, and provides context-aware recommendations. The platform utilizes advanced machine learning algorithms and large language models (LLMs) to generate code snippets, documentation, and tests. Tabnine supports multiple programming languages and integrates seamlessly with popular integrated development environments (IDEs).
Tabnine's AI assistant can complete lines of code, suggest full functions, and even convert natural language comments into executable code. As of February 2024, the company introduced new capabilities that allow for greater personalization of its AI coding assistant. These features include local code awareness, connection to software repositories for global code awareness, and customization of AI models. Tabnine claims to automate 30-50% of code creation for each developer, significantly boosting efficiency.
A key differentiator for Tabnine is its focus on privacy and security. The platform offers flexible deployment options, including SaaS, on-premises, and virtual private cloud solutions. Tabnine emphasizes that it does not store or share customers' code and uses only AI models trained on open-source code with permissive licenses, addressing potential legal and intellectual property concerns.
In November 2023, Tabnine secured USD 25 million in Series B funding, bringing its total funding to USD 55 million. The company reported having over a million users and 10,000 customers as of that time. Tabnine has continued to evolve its offerings, introducing features such as Tabnine Chat for natural language interactions with AI models and support for various LLMs including OpenAI's GPT-4o, Anthropic's Claude 3, and Cohere's Command R model.
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