Legacy Code Modernization uses AI to convert legacy code to modern platforms, enabling faster and lower-risk modernisation, by translating source code while preserving behaviour, across application modernisation and solution build.
Core systems run on aging languages and frameworks that few engineers still know, making every change slow and risky. Rewriting them by hand is enormously expensive and error-prone, so organisations defer modernisation and carry mounting maintenance cost and operational fragility.
The AI performs translation of legacy source code into a modern language and framework, preserving behaviour and producing converted modules with mapping notes for engineers to review and test.
Reduces code migration effort per module and shortens the timeline to retire legacy platforms.
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