As organizations increasingly rely on AI-generated code, concerns grow over the unintentional inclusion of intellectual property belonging to individuals or third parties in their applications.
The new provenance attribution feature aims to simplify the identification of copyright issues by flagging exact and functional matches with code in public repositories like GitHub.
With ongoing legal cases alleging copyright violations by LLM builders, the need for effective tools to track code provenance has become crucial for developers.
Tabnine plans to enhance its capabilities by adding censorship features, allowing admins to remove matching code before it reaches developers, managing potential legal risks.
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