AI can read your legacy systems. Modernization is still the hard part (www.techradar.com)

IBM has unveiled its AI coding assistant, "Bob," highlighting a significant shift toward modernization of legacy systems in enterprises. This tool can rapidly analyze extensive lines of code, identify deprecated APIs, summarize business logic, and highlight technical debt, providing organizations with invaluable insights into their long-standing systems. However, the real challenge lies not in understanding these systems but in effectively modernizing them—an endeavor that involves navigating a web of interdependencies, operational risks, and compliance requirements that have evolved over decades. While AI can enhance visibility and accelerate technical assessments, successful modernization requires thoughtful decision-making regarding which systems to update, restructure, or retain. As enterprises move from “replace everything” strategies to more selective approaches, they must apply AI insights in the context of their specific operational environments. The implementation of smaller, task-specific models allows organizations to govern AI interference with critical systems carefully. Thus, while AI tools like Bob quickly surface insights and facilitate assessments, the ultimate process of modernization remains a complex, human-driven endeavor that demands operational discipline and deep understanding of interconnected business processes.