Legacy telecom systems, while supporting critical operations, hinder innovation and growth. As industries move toward cloud-native architectures, modernizing these systems has become crucial. Generative AI and DevOps practices now facilitate this transformation, enabling teams to analyze legacy code, document systems, and refactor modules efficiently. For example, in a migration case, generative AI assisted in converting Ruby on Rails code to Java Springboot, streamlining onboarding and improving team velocity by 30% while enhancing code quality and security.
Generative AI is proving especially useful in large-scale transformation projects by analyzing legacy code, generating documentation for poorly documented systems, and proposing refactored versions.
When paired with DevOps pipelines, generative AI reduces manual effort and helps teams maintain velocity throughout the modernization journey, streamlining the transformation process.
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