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Wednesday, December 18, 2024

Tabnine introduces code provenance and attribution characteristic that flags restrictively licensed code generated by AI assistants


Screenshot of Tabnine's Code Attribution and Provenance feature.

Tabnine, the AI ​​coding assistant supplier, in the present day introduced a brand new characteristic, Origin and attribution of the codeto guard corporations from unintentionally including restrictively licensed code to their code base once they use generative AI to write down code.

The brand new characteristic Compares AI-generated code to public GitHub repositories to search out matches and flags the license sort of the unique GitHub code.

Based on Tabnine, this new characteristic will assist software program improvement groups perceive whether or not the code generated by AI fashions meets their requirements and necessities.

“Subsequent-generation LLMs like Claude 3.5 Sonnet and GPT-4o have drastically improved the efficiency of generative AI functions, together with AI code assistants. Nonetheless, these LLMs are skilled on massive quantities of knowledge collected from all corners of the Web, together with code which will have restrictions on how it may be used, presenting the chance of mental property infringement. For the reason that copyright regulation for utilizing AI-generated content material continues to be unsettled, corporations’ engineering groups need to strike a stability: making the most of the efficiency features that come from these highly effective fashions whereas minimizing the likelihood of copyleft licensed code coming into your codebase. “Tabnine wrote in a weblog put up.

Tabnine had beforehand supplied a license-compliant mannequin skilled solely on permissively licensed code, however this new characteristic will enable customers to additionally leverage a wide range of different fashions, corresponding to Anthropic’s Claude, OpenAI’s GPT-4o, and Cohere’s Command R+.

The code provenance and attribution functionality additionally helps different improvement actions past code technology inside Tabnine, together with code fixing, check case technology, and Jira situation deployment.

The corporate can also be working to increase this functionality to permit customers to specify repositories to match towards, corresponding to a competitor’s code. It should additionally add a redaction functionality that removes matching code earlier than the developer sees it.

Code Provenance and Attribution is at present out there as a non-public preview for all Tabnine Enterprise prospects. Tabnine will even host a webinar on January 9 at 11 a.m. ET / 8 a.m. PT to dive deeper into the capability.

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