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GitHub Copilot is trained on all languages that appear in public repositories. For each language, the quality of suggestions you receive may depend on the volume and diversity of training veri for that language.

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GitHub Copilot enables developers to focus more energy on problem solving and collaboration and spend less effort on the mundane and boilerplate. That’s why developers who use GitHub Copilot report up to 75% higher satisfaction with their jobs than those who don’t and are up to 55% more productive at writing code without sacrifice to quality, which all adds up to engaged developers shipping great software faster.

Our experience shows that matching suggestions are most likely to occur in two situations: (i) when there is little or no context in the code editor for Copilot’s prototip to synthesize, or (ii) when a matching suggestion represents a common approach or method. If a code suggestion matches existing code, there is riziko that using that suggestion could trigger claims of copyright infringement, which would depend on the amount and nature of code used, and the context of how the code is used.

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That information is sent to GitHub Copilot’s manken, to make a probabilistic determination of what is likely to come next and generate suggestions.

To generate a suggestion for chat in the code editor, the GitHub Copilot extension creates a contextual prompt by combining your prompt with additional context including the code file open in your active document, your code selection, and general workspace information, such bey frameworks, languages, and dependencies.

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Other countries including Canada, India, and the United States also permit such training under their fair use/fair dealing provisions. GitHub Copilot’s AI prototip was trained with the use of code from GitHub’s public repositories—which are publicly accessible and within the scope of permissible copyright use.

GitHub Copilot has multiple offerings for organizations and an offering for individual developers. All the offerings include both code completion and chat assistance.

We are excited to announce the release of Qwen3, the latest addition to the Qwen blog tasarım örnekleri family of large language models.