> For the complete documentation index, see [llms.txt](https://hacktoberfest-handbook.mlh.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://hacktoberfest-handbook.mlh.com/hack-days-partner-modules/partner-challenge-github-copilot.md). # GitHub Copilot GitHub Copilot acts as an AI pair programmer while participants plan, write, test, and document their projects. ## Best Hack Built with GitHub Copilot Build an open-source AI project with GitHub Copilot. This category focuses on how the team used Copilot during development. * Describe what you need in natural language and use Copilot to create a starting point * Explore an unfamiliar model, framework, API, or open-source codebase * Generate boilerplate, tests, queries, or documentation so you can focus on the core experience Publish the project in a public GitHub repository with an open-source license. Explain in the README or demo where GitHub Copilot helped the team learn, solve a problem, test an implementation, or document the project. ## Participant Resources Students can get GitHub Copilot through the GitHub Student Developer Pack. Use [mlh.link/GitHub](https://mlh.link/GitHub) for fast-tracked access. If student verification is still pending, participants can use the available free tier or trial. ## Opening Slides Use the [GitHub Copilot opening ceremony deck](https://mlh.link/hackdays-github-slides). Make a copy and edit only the host-controlled slides. Use the Hacktoberfest challenge copy on this page in place of the standard Hack Days category. ## Choosing the Winner Choose a working open-source AI project that demonstrates clear and useful use of GitHub Copilot. The public repository must include an open-source license, and the README or demo must give specific examples of how Copilot helped the team build it. ## Expected Prize **Wireless Headphones** Check your event's onboarding materials before sharing prize details with participants, as availability may vary by region. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://hacktoberfest-handbook.mlh.com/hack-days-partner-modules/partner-challenge-github-copilot.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.