AI-powered workflows with GitHub and Azure DevOps | BRK106 скачать в хорошем качестве

AI-powered workflows with GitHub and Azure DevOps | BRK106

Modernize your DevOps strategy with Agentic DevOps by migrating your Azure Repos to GitHub while continuing to leverage the investments you’ve made in Azure Boards and Azure Pipelines. We’ll walk through real-world patterns for hybrid adoption, show how to integrate GitHub, Azure Boards and Azure Pipelines, and share best practices for enabling agent-based workflows with the MCP Servers for Azure DevOps, Playwright and Azure. Delivered in a silent stage breakout. To learn more, please check out these resources: https://aka.ms/ignite25-plans-Agentic... https://github.com/solutions/use-case... https://github.com/features/copilot/c... https://github.com/features/copilot?u... https://github.com/features/copilot/a... 𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: Dave Burnison Dan Hellem 𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2025 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com BRK106 | English (US) | Innovate with Azure AI apps and agents, GitHub Breakout | Advanced (300) Related Sessions: BRK105 -- https://ignite.microsoft.com/sessions... BRK107 -- https://ignite.microsoft.com/sessions... BRK218 -- https://ignite.microsoft.com/sessions... BRK109 -- https://ignite.microsoft.com/sessions... #MSIgnite, #InnovatewithAzureAIappsandagents Chapters: 0:00 - Defining Hybrid Mode and Work Item Traceability Integration 00:06:27 - Demo Introduction: Work Item Traceability and Copilot Integration 00:06:48 - Demo Walkthrough: Creating and Linking Branches, Commits, and Pull Requests 00:09:15 - Automatic merge commit and branch cleanup demonstration 00:17:02 - Using Copilot coding agent with Azure Pipelines YAML demonstration 00:21:38 - Copilot performs detailed YAML pipeline code review 00:22:14 - Copilot identifies duplication and suggests reusable templates 00:34:37 - Introduction to Azure DevOps core work overview 00:36:52 - Creating child user stories from features with AI context