Tabnine, which develops an AI-powered assistant for software developers that can anticipate code to be written for specific apps and fills in blanks with the appropriate snippets, launched a new version of its time-saving application programming interface.
The company, which uses a freemium-plus-service provisioning business model, also said it had eclipsed its API’s 1 million user mark in 2022. Tel Aviv-based Tabnine’s software has a long memory for finding reusable code in 31 languages, including Python, JavaScript, Java, C#, TypeScript and other languages available in both Visual Studio Code and IntelliJ IDEs.
Developers are now seeing 30 per cent to 40 per cent of their code generated automatically using the Tabnine API without needing to deviate. During the past year, Tabnine has revamped its AI models and its approach to integrating new models into its platform. As opposed to a monolithic policy that mandates a single AI model, Tabnine can now support any compatible AI model for guiding developers.
With longer and better code completions, the next-generation AI technology is a big step forward for developer productivity, further establishing Tabnine as the leader in AI-powered software development. The new-generation platform includes a dozen new AI models, each trained from the ground up on code (vs. models pretrained on the text and retrofitted to learn code). Each model is optimised for a specific language or domain, enabling Tabnine to contextually complete full lines and snippets of code with unprecedented accuracy.
Tabnine started up in 2017, and announced it had raised $15.5 million in funding from Qualcomm Ventures, OurCrowd and Samsung NEXT Ventures, with participation from existing investors that include Khosla Ventures, Headline Ventures, Hetz Ventures and TPY Capital. With this latest infusion of capital, Tabnine has raised a total of $32 million to date.
Tabnine claims to be the only such AI-powered software development tool of its kind in the market. The latest funding will be used to accelerate Tabnine’s platform development further to add support for additional AI models and programming languages later this year.
