GitHub Copilot Unpacked: Features & Cost Control

We will explore how organizations can purchase and manage GitHub and GitHub Copilot through Azure, including plans, licensing, metered usage, and billing. We will also cover the transition from Premium Request Units (PRUs) to GitHub AI Credits and discuss how to manage costs using budgets.

We will demonstrate how agentic workflows extend GitHub beyond coding by automating key engineering processes. Through practical examples, we will show AI-powered issue triage, project reporting, and an auto-healing pipeline that can detect, analyze, and help remediate CI/CD failures.

Agenda:

1. GitHub and GitHub Copilot: purchasing and billing via Azure
   • Learn how GitHub and GitHub Copilot plans, licenses and metered usage can be purchased and billed through Azure
   • Discuss how the Azure-based billing can help simplify procurement, invoicing, and budget management.
2. GitHub Copilot: usage-based billing and spend control
   • Review the changes and understand how usage-based billing works and what it means for GitHub Copilot customers
   • Learn how organizations can manage spending with budgets
3. 3. GitHub Agentic Workflows
   • Why Agentic Workflows now? Moving beyond simple code completion to autonomous execution
   • The Repo as an AI Operating Environment: A brief look at the architecture, prerequisites, and how to get started.
   • The Engineering Impact: Shifting from reactive firefighting to strategic work by using AI as an operational execution layer.
4. 4. Live Demo & Value
   • Use Case #1: Auto-Healing Pipeline: A CI/CD pipeline breaks. The agent detects the failure, root-causes the error, and initiates remediation to slash MTTR.
   • Use Case #2: Auto-Triage & Project Status: The agent categorizes and prioritizes new issues, transforming raw repo activity into real-time health reports for EMs and maintainers.
   • Key Takeaway: Agents don't replace engineers; they offload repetitive operations.