
Legacy refactoring. AI Based
Leverage artificial intelligence to modernise and improve outdated software systems. As a use case, it includes: code analysis, automatic detection of code issues, technical debt, and outdated patterns; automated transformation, AI-assisted conversion of legacy code into modern programming languages or frameworks; documentation generation, automatic creation of missing documentation and comments; dependency mapping, visualisation of complex system dependencies and identification of critical components; test generation, automatic creation of unit tests for existing code. Typical applications include migration from COBOL to Java, modernisation of monolithic applications to microservices, or upgrading outdated frameworks while maintaining functionality.
















