Wednesday, December 18, 2024
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Tabnine introduces Code Provenance and Attribution function that flags restrictively licensed code generated by AI assistants


Screenshot of Tabnine's Code Provenance and Attribution feature.

The AI coding assistant supplier Tabnine at this time introduced a brand new function, Code Provenance and Attribution, to guard corporations from unintentionally including restrictively licensed code into their codebase when utilizing generative AI to write down code. 

The brand new function checks AI-generated code towards public GitHub repositories to seek out matches, and flags the license kind of the unique code from GitHub. 

Based on Tabnine, this new function will assist software program improvement groups perceive if the code generated by AI fashions meets their requirements and necessities. 

“State-of-the-art LLMs like Claude 3.5 Sonnet and GPT-4o have tremendously improved the efficiency of generative AI purposes, together with AI code assistants. Nevertheless, these LLMs are educated on huge quantities of information collected from all corners of the web, together with code which will have restrictions on how it may be used, introducing the chance of IP infringement. Because the copyright regulation for using AI-generated content material remains to be unsettled, engineering groups at enterprises wish to strike a stability: leveraging the efficiency features that come from these highly effective fashions whereas minimizing the chance of copyleft-licensed code getting of their codebase,” Tabnine wrote in a weblog put up

Tabnine had already provided a license-compliant mannequin educated solely on permissively licensed code, however this new function will allow customers to leverage quite a lot of different fashions too, reminiscent of Anthropic’s Claude, OpenAI’s GPT-4o, and Cohere’s Command R+.

The Code Provenance and Attribution functionality additionally helps different improvement actions on high of code technology inside Tabnine, together with fixing code, producing check instances, and implementing Jira points.

The corporate can be engaged on increasing this functionality to allow customers to specify repos to verify towards, reminiscent of a competitor’s code. It would additionally add a censorship functionality that removes matching code earlier than the developer sees it. 

Code Provenance and Attribution is presently out there as a personal preview for all Tabnine Enterprise clients. Tabnine may even host a webinar on January 9 at 11 AM ET / 8 AM PT to dive into the aptitude additional. 



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