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- Programming with GitHub Copilot Agent Mode | Microsoft Community Hub
GitHub Copilot Agent Mode supports MCP servers, and you can connect to different MCP services We can think of an interesting scenario, which is to make a project report ppt In the past, you needed to invest manpower and time to complete it, but through GitHub Agent Mode and MCP, you can quickly complete this task Let me explain it next
- GitHub integration with Microsoft Loop
Bring your GitHub issues and pull requests (PRs) into Loop for seamless collaboration and remove the need to switch between multiple apps
- GitHub Copilot for Azure の一般提供を開始：Agent モードにも対応
GitHub Copilot for Azure は、2024 年 11 月の Microsoft Ignite カンファレンスで public preview として公開されました。これにより、開発者、IT 運用者、DevOps 実践者たちは、自分たちの Azure
- New GitHub Copilot Global Bootcamp: Now with Virtual and In-Person . . .
The GitHub Copilot Global Bootcamp started in February as a fully virtual learning journey — and it was a hit More than 60,000 developers joined the first edition across multiple languages and regions
- ¡GitHub Copilot gratis! Ahora al alcance de todos
¡Buenas noticias! Ahora todos pueden usar GitHub Copilot GRATIS en Visual Studio Code Sólo necesitas tu cuenta de GitHub Sin periodos de pruebas, sin
- Integrate AI Effortlessly: How to Use GitHub Models to Elevate Your . . .
Discover how to effortlessly integrate AI into your projects using GitHub Models Learn to customize responses, build smart applications, and supercharge
- Prompt Engineering with GitHub Copilot and JavaScript
In this session, participants were introduced to GitHub Copilot and the fundamentals of prompt engineering to enhance coding productivity The session covered three main learning objectives: 1 Understanding GitHub Copilot GitHub Copilot is an AI-powered coding assistant designed to enhance software development by generating code suggestions, answering queries, and assisting in debugging The
- GitHub Models: Retrieval Augmented Generation (RAG) | Microsoft . . .
GitHub Models RAG transforms this experience by enabling your models to access up-to-date information, retrieving current, relevant documents as needed This approach reduces reliance on outdated data, providing contextual accurate answers grounded in your data – without the need for frequent retraining
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