Cloud migration has become a strategic priority for enterprises, yet legacy systems remain a persistent obstacle. According to industry studies, 74% of organizations recognize legacy systems as a barrier to digital transformation, and 70% of IT budgets are consumed by maintenance rather than innovation. Add to that the fact that 42% of developers’ time is spent repairing old systems, and it becomes clear why modernization is so urgent – and so difficult. 

The Role of Agentic AI in Migration 

Agentic AI tools such as Cursor, Cline, Claude Code, and Windsurf are redefining how organizations approach modernization. Unlike traditional manual migrations, these tools work interactively with codebases to: 

• Understand and analyze code 

• Generate automated documentation 

• Formulate tailored migration strategies 

By augmenting engineers’ expertise, Agentic AI provides not only speed but also accuracy, reducing risk during migration. 

Case in Point: TOP 5 CEE Bank operating in over 15 countries 

One example of this approach in action comes from a TOP 5 CEE Bank operating in over 15 countries. The objective was to transform a legacy IBM WebSphere application into a Liferay portlet – all while upgrading the stack to Java 21 and Spring Framework 5. 

By leveraging AI in the migration process, the bank successfully moved 80+ applications and workflows from on-premise to cloud. The result: a 40% reduction in effort and timelines, without compromising functionality. 

This showcases the potential of AI-assisted frameworks to manage infrastructure setup, configuration updates, and code enhancement efficiently. 

Why Human Expertise Still Matters 

Despite the automation benefits, skilled engineers remain essential. They must: 

• Select the right models 

• Define precise migration specifications 

• Apply prompt engineering techniques 

• Write AI rules for manipulating code 

AI doesn’t replace engineering judgment – it amplifies it. 

The Future of Cloud Migration 

With AI, the risks and costs traditionally associated with modernization are reduced. Agentic AI empowers organizations to tackle what was once seen as unfeasible: migrating mission-critical, monolithic, or industry-specific applications at scale. 

For enterprises weighed down by outdated systems, AI-driven migration offers a path to innovation, agility, and cost efficiency. 

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