Tabnine is a code completion tool which uses generative artificial intelligence to assist users by autocompleting code. It was created in 2018 by Jacob Jackson, a student at the University of Waterloo.[1] It is now developed by Tabnine, a software company founded under the name Codota by Dror Weiss and Eran Yahav in Tel Aviv, Israel, in 2013, and renamed to Tabnine in 2021.[2][3][4] Initially established under the name Codota, the company underwent a rebranding in May 2021 following the release of the company’s first large language model based AI coding assistant, adopting the name Tabnine.[5][6]
Tabnine was established as Codota in 2013 by Dror Weiss and Eran Yahav in Tel Aviv, Israel.[7][8][9] Tabnine, initially founded under the name Codota, was created to offer developer productivity tools based on over a decade of academic research at the Technion.[10][11][12][13] Codota's platform emulated human understanding of code, analyzing vast repositories to scale insights. With a focus on the meaning of code, Codota's AI-based autocompletion employed a semantic approach to automatically generate code.[14][15][6]
Codota, the predecessor of Tabnine, secured $2 million in seed investment in June 2017. Following this, in June 2018, the company introduced the first AI-based code completion for Java IDE.[16][10][13]
In 2019, Codota acquired a product called Tabnine, which used the newly available large-language model technology to provide generative AI for software code across a broader range of programming languages across five IDEs. Codota replaced its earlier approach to code generation with this new approach to generative AI.[14][17][10][18][19]
On May 26, 2021, Codota changed its name to Tabnine and underwent a corresponding rebranding.[23]
By April 2022, Tabnine reached over one million users. In June of the same year, Tabnine launched the next generation of code completions, with new models for predicting full lines and snippets of code.[24] The same year it raised $15.5 mln in a funding round led co-led by Qualcomm Ventures.[25]
In June 2023, Tabnine introduced an AI-powered chat agent, enabling developers to use natural language to generate code, to explain code, to generate tests and documentation, and to propose fixes to code.[26]
In November 2023, Tabnine closed a Series B round of funding, raising $25 million to scale the company’s operations.[27]
In February 2024, Tabnine unveiled personalized recommendations for developers through local code awareness and recommendations for engineering teams through integrations with their global codebase. In April 2024, Tabnine released the ability for users to choose the underlying AI model that powers their software development chat agent. In addition to models custom developed by Tabnine, additional models were offered from Mistral and OpenAI.
Operations
Tabnine's headquarters is located in Tel Aviv, Israel, with an additional corporate entity in the United States. The company employs individuals from various countries, including the US, the UK, Ireland, and Poland, among others.[14]
Tabnine generative AI for software development is used by 1,000,000 developers. It has 10 million installations across VS Code and JetBrains.[24][28][29]
Since its founding, Dror Weiss has served as CEO, with Eran Yahav as CTO.[14][13] Current management includes Gus Robertson as Chairman of the Board, Peter Guagenti as President and Chief Marketing Officer, and Shane Owenby as Chief Revenue Officer.[30]
Features
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. Tabnine allows automating the coding workflow through AI tools customized to engineering team.[31][32][14]
Tabnine offers AI code completion and an AI-powered chat. Use cases include:
Planning: Developers can ask Tabnine general coding questions and obtain relevant guidance for their specific projects.
Creation: Developers can use natural language to ask Tabnine to generate code that performs a specific task based on design specifications and create software components, features, functionality, and more.
Testing: Developers can use Tabnine to create tests for a specific function or code in the project and get back the actual test cases, implementation, and assertion. Tabnine can also use existing tests in the project and suggest tests that align with the project’s testing framework.
Fixing: When tests fail, Developers can select code with an error and ask Tabnine for recommendations on how to fix it.
Documentation: Tabnine can create documentation (including formal documentation of classes and functions for API guides, comments, and inline documentation).
Explanation: Developers can utilize Tabnine to explain legacy code or code written in unfamiliar languages.
Maintenance: Tabnine supports code updates, bug fixes, functionality additions, and code refactoring based on detailed instructions.
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