From Issue to PR - Asynchronously develop with GitHub Copilot Coding Agent

The future of coding is here, and it’s not just autocomplete anymore! 🚀 Join us as Luke Hoban reveals how GitHub Copilot has evolved from simple code suggestions to autonomous coding agents that can tackle entire tasks while you focus on high-value work. Discover how to assign your backlog items directly to AI and watch it work independently for minutes at a time. 🎯 Key Insights The 4-year evolution from “next few lines” to autonomous task completion How to assign entire GitHub issues directly to Copilot coding agents The new github.com/copilot/agents command center for managing AI work Built-in web browser testing with automatic screenshot documentation MCP (Model Context Protocol) integration expanding agent capabilities Mobile task creation so you can kick off work while walking your dog 💡 Breakthrough Moments - Real example: Year-old GitHub CLI bug automatically fixed by the agent - “Improve the readme” — natural language becomes instant work assignments - 10+ minute autonomous work sessions with full session logs - Visual testing with Playwright integration and screenshot proof - From individual productivity to team-wide AI collaboration 🔗 Resources Mentioned GitHub Copilot: https://github.com/features/copilot All Sip N Sync episodes: https://aka.ms/SipAndSyncPlaylist Azure AI Resources: https://ai.azure.com Coding Agent Docs: https://docs.github.com/en/copilot/concepts/coding-agent/coding-agent ⏱️ Chapters 00:00 Welcome & Introduction 00:11 Evolution of GitHub Copilot over 4 years 01:26 From individual to team productivity 02:21 Live demo: Assigning issues to Copilot 03:27 New agent command center walkthrough 05:57 Mobile task creation capabilities 06:41 Advanced agent capabilities & web browser integration 08:05 MCP integration and extensibility 09:32 GitHub MCP server availability 10:01 Wrap-up 📝 Key Takeaway Stop thinking about AI as just code completion. GitHub Copilot agents can now handle entire tasks autonomously — from writ