Case Study: Tabnine helps 1 million developers code faster with Google Cloud Platform

A Google Cloud Platform Case Study

Preview of the Tabnine Case Study

Tabnine Using Google Cloud powered AI to help developers code faster

Tabnine wanted to deliver an AI-assisted development workflow that could help more than 1 million users code faster while keeping customer code private and secure. To support that challenge, Tabnine used Google Cloud Platform services, including Cloud GPUs and Google Kubernetes Engine, to power its code-guidance solution and handle rapid growth.

Google Cloud Platform provided the scalable, low-latency infrastructure Tabnine needed to run machine learning workloads, auto-scale quickly, and maintain secure isolated containers. The result was improved coding quality for more than 1 million users, with the system helping developers complete 25% to 40% of code, speeding onboarding, and making coding best practices available in real time.


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Tabnine

Eran Yahav

Co-Founder


Google Cloud Platform

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