Code-generating AI platform Tabnine nabs $25M investment
Developers are ready to embrace AI tools, spurred by the dual promises of increased productivity and faster learning. According to one recent
Developers are ready to embrace AI tools, spurred by the dual promises of increased productivity and faster learning. According to one recent
Dror Weiss and Eran Yahav co-founded Tabnine in 2012 to create a platform that infuses various steps in the software development lifecycle with generative AI. Yahav was — and still is — a professor at Technion (the Israel Institute of Technology), while Weiss is a Technion computer science graduate.
Among other coding tools powered by first- and third-party generative AI models, Tabnine offers Tabnine Chat, an AI “code assistant” that writes code and answers questions about organizations’ codebases — sort of like a Tabnine has competitors in . But Weiss asserts that the company affords more control and personalization than rival systems, for example enabling customers to deploy its tools either on-premises or via a virtual private cloud.
Developers are ready to embrace AI tools, spurred by the dual promises of increased productivity and faster learning.
“Our flexible architecture means we can switch [code-generating AI] models relatively easily and are thus not ever competing with the big generative AI model builders,” Weiss told TechCrunch in an email interview. “We future-proof as AI evolves and new models become available from other vendors; Tabnine can bring those models to developers wherever they code.”
Weiss also makes the case that Tabnine is less legally risky than its competition — at least from a commercial perspective.
Microsoft, GitHub and OpenAI are currently being
Based on reporting by techcrunch.com.
