Case Study: Tabnine achieves faster code generation and higher conversions with Anthropic’s Claude

A Anthropic Case Study

Preview of the Tabnine Case Study

Tabnine solves developers' pain points and enhances productivity with Claude

Tabnine, an AI coding assistant serving over one million developers, needed a more sophisticated large language model to improve its developer experience. The small software company required a solution that could provide high-quality code explanations and robust security to meet its strict data privacy standards for customers in regulated industries.

Anthropic implemented its Claude 3.5 Sonnet model via the Claude Platform on Amazon Bedrock. This solution delivered answers 50% faster than other models, handled hundreds of thousands of messages per hour, and provided the necessary security compliance. As a result, Tabnine saw a 20% increase in free-to-paid user conversions and a 20-30% decrease in monthly customer churn, solidifying Anthropic's role in enhancing their service.


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Tabnine

Brandon Jung

VP of Ecosystem


Anthropic

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