Stream Watch: "Shortening the Rewrite Time for Legacy Applications"
For most organizations, the hardest part of rewriting a legacy application isn’t the rewrite itself, it’s what comes before it. Teams spend months, sometimes the better part of a year, trying to understand what the old system actually does. Code that hasn’t been touched in a decade. Documentation that was never written, or was written and then lost. Business rules buried inside COBOL routines that only one retired developer ever fully understood. By the time the team is ready to write a single line of new code, the schedule is already in trouble.
This session examines how AI-powered analysis is fundamentally changing that equation. Using CM evolveIT, organizations can compress the discovery and analysis phase dramatically, reducing what once took six weeks of manual reverse engineering to two weeks or less. Automated inventories, process flow documentation, and business rule extraction give modernization teams an accurate, complete picture of the legacy system before the first architectural decision is made. That means fewer assumptions, less rework, and a rewrite process grounded in reality rather than guesswork.
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Viewers will leave with a clear understanding of how to: Compress the discovery phase from months to weeks using automated code analysis and business rule extraction Surface cross-program dependencies and embedded logic that manual review consistently misses Enter the rewrite phase with a complete, documented picture of what the legacy system does, reducing rework and mid-project surprises Connect discovery findings directly to scope, phasing, and architecture decisions
If your organization is planning a legacy rewrite in 2026, or struggling with one already underway, this session will show you how to shorten the most expensive phase of the project before it derails the rest.
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