GitHub claims that fair use - the doctrine in U.S. Users have been able to prompt Copilot to generate code from Quake, code snippets in personal codebases and example code from books like “Mastering JavaScript” and “Think JavaScript” GitHub itself admits that, about 1% of the time, Copilot suggestions contain code snippets longer than ~150 characters that match the training data. Copilot - which had over 400,000 subscribers as of August - can surface a programming approach or solution in response to a description of what a developer wants to accomplish (e.g., “Say hello world”), drawing on its knowledge base and the current context.Īt least a portion of the code on which Codex was trained is copyrighted or under a restrictive license, which some advocacy groups have taken issue with. That includes a toggle that lets IT admins prevent suggested code that matches public code on GitHub from being shown to developers, a likely response to the intellectual property controversies brewing around Copilot.Īvailable as a downloadable extension for development environments, including Microsoft Visual Studio, Neovim and JetBrains, Copilot is powered by an AI model called Codex, developed by OpenAI, that’s trained on billions of lines of public code to suggest additional lines of code and functions given the context of existing code. GitHub Copilot, GitHub’s service that intelligently suggests lines of code, is now available in a plan for enterprises months after launching for individual users and educators.Ĭalled GitHub Copilot for Business, the new plan, which costs $19 per user per month, comes with all the features in the single-license Copilot tier along with corporate licensing and policy controls.
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