Enterprises Slash Legacy Application Migration Time with AI-Powered Automation

Microsoft's AI agents platform automates enterprise-scale migration and modernization of . NET and Java applications, reducing what was once a months-long process to days. Azure Migrate automatically inventories and assesses legacy application portfolios, streamlining discovery of dependencies, OS, and frameworks. GitHub Copilot and agentic workflows help developers plan and execute modernization with minimal manual effort by generating migration plans, handling dependency updates, and automating workflows from Visual Studio or JetBrains IDEs. Early use within Microsoft's Xbox team and Ford China resulted in dramatic, quantifiable reductions in migration effort and technical debt. The solution improves developer productivity, reduces security risk, and enables organizations to tackle projects previously deemed too complex or risky to address using agentic, cloud-native patterns. Post-migration, built-in SRE AI agents maintain and optimize migrated workloads with proactive performance analysis and recommendations. Modernizing legacy applications is essential to address security vulnerabilities, technical debt, and to harness new cloud capabilities, but the complexity and time required has long discouraged innovation. Azure Migrate initiates comprehensive automated discovery, while cloud-based AI agents dynamically generate actionable migration plans. Developers hand off migration workflows directly from familiar coding environments and maintain total oversight while benefiting from greatly reduced developer toil. App portfolios are migrated to Azure, codebases are updated and optimized, and organizations use additional tools (e.g., AppCAT) for ongoing cloud optimization. Broadened support for various IDEs, databases, and integration of operations AI completes the modernization lifecycle. This solution represents a paradigm shift in enterprise IT management, offering speed, predictability, and reduced operational risk.