Build Self-Healing CI/CD Pipelines with GitHub Copilot SDK

Description

In this video, we explore the brand new GitHub Copilot SDK and how you can use it to build production-ready AI agents for real-world applications. You’ll learn how the Copilot SDK goes beyond simple API wrappers by giving you access to the same powerful execution loop that powers GitHub Copilot CLI. We cover how to create intelligent agents with memory, tools, security controls, streaming responses, and MCP server integrations. We walk through hands-on examples in Python and TypeScript, including: ✅ Creating Copilot sessions ✅ Choosing and switching AI models ✅ Enabling streaming responses ✅ Defining custom tools ✅ Connecting MCP servers ✅ Building custom agent personas ✅ Automating GitHub Actions failure analysis ✅ Creating issues and PRs automatically with AI ✅ Integrating Copilot into CI/CD pipelines You’ll also see a real demo where an AI agent monitors GitHub Actions, detects workflow failures, analyzes root causes, searches the web for solutions, and automatically creates GitHub issues and fixes. If you’re building AI-powered developer tools, DevOps automation, or intelligent SaaS products, this video shows how GitHub Copilot SDK can power your next generation of applications. 🚀 Perfect for: Developers, DevOps Engineers, Platform Engineers, AI Engineers, and anyone building production AI agents. ►►►Connect with me ►►► ► Kubesimplify: https://kubesimplify.com/newsletter ► Newsletter: https://saiyampathak.com/newsletter ► Discord: https://saiyampathak.com/discord ► Twitch: https://saiyampathak.com/twitch ► YouTube: https://saiyampathak.com/youtube.com ► GitHub: https://github.com/saiyam1814 ► LinkedIn: https://www.linkedin.com/in/saiyampathak/ ► Website: https://saiyampathak.medium.com/ ► Instagram: http://instagram.com/saiyampathak/ ► https://twitter.com/saiyampathak