From legacy modernization to AI operations: Modernize applications and operate AI systems at scale with self-healing agents and enterprise-grade operational intelligence

Session Introduction
Modernizing legacy applications at scale is only half the journey — the AI systems that follow demand continuous monitoring, rapid incident response, and dependable day-to-day operations, all without adding engineering burden.

In this session, you’ll follow that path end to end: modernize legacy applications with automated, reviewable upgrades, then operate and scale AI systems using self-healing agents and enterprise-grade operational intelligence. You’ll see how AI can streamline large-scale application updates, connect runtime signals to remediation, and make complex operational work easier to review and govern.

You Will Learn
• How to scale legacy application assessments and upgrades with Copilot Modernize CLI
• How stacked pull requests can make large automated migrations easier to review
• How the Azure SRE Agent can help diagnose issues and propose tested remediations
• How to track operational impact using token efficiency, recovery time, and acceptance signals

Technologies Used
• Azure SRE Agent
• Copilot App Modernization Agent & Modernize CLI
• Stacked Pull Requests
• Human-in-the-Loop Governance Patterns

Who Should Attend
• Teams modernizing legacy applications across multiple repositories
• Developers and platform engineers operating AI systems in production
• Site reliability and DevOps teams exploring agent-assisted remediation
• Technology leaders focused on scalable, resilient AI operations