Application modernization projects often stall under the weight of complexity: Do you refactor, re-platform, or replace with SaaS? AI-assisted development can cut through that complexity, turning weeks of manual analysis into hours.
In this session, I’ll share a real-world exercise where my Claude-Flow swarm of coding agents was used extensively to modernize an existing open-source CRM application. We’ll cover three stages of the journey: (1) assessing the application’s fitness for cloud deployment, (2) using AI to analyze the viability of migrating users to existing SaaS alternatives, and (3) planning the modernization effort with a roadmap that accounts for technical debt, risk, and compliance gaps.
This is not a theoretical discussion—I’ll show concrete outputs generated by the swarm, how the orchestration handled complex decomposition, and where human judgment was still required. Attendees will walk away with a practical, field-tested framework for applying AI agents to modernization efforts and accelerating the move to cloud-native architectures.
I am currently the Agentic AI Enablement Principal at Asperitas Consulting. I help companies leverage AI to gain a competitive advantage. I concentrate on Azure and AWS cloud implementations. I focus on DevSecOps, infrastructure code, cloud computing, containerization, making applications cloud-native, and migrating applications to the cloud. I routinely speak at technical conferences such as Agile + DevOps East, DevOpsDays, and many others. My books include "Mastering the Shift: Collaborating with Teams of AI Coding Agents", "The Java EE Architect's Handbook" and "Microservices for Java EE Architects."
