Overview

A global reinsurance leader faced a critical challenge of migrating a shared Java library from end-of-life framework versions to modern technologies. The migration involved extensive code refactoring across a large legacy codebase with numerous dependencies, and a manual approach would have been time-consuming and risk prone.

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A global reinsurance leader faced a critical challenge of migrating a shared Java library from end-of-life framework versions to modern technologies. The migration involved extensive code refactoring across a large legacy codebase with numerous dependencies, and a manual approach would have been time-consuming and risk prone.

Tech Mahindra leveraged AI-assisted refactoring and template-driven modernization techniques to accelerate delivery. The approach reduced migration effort from approximately 742 hours to 62 hours, improved development efficiency, and delivered a production-ready release within an accelerated timeframe.

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Industry Challenge

This global reinsurance company is one of the world's leading providers of risk transfer and reinsurance solutions, operating across multiple continents and serving clients in more than 150 countries. With a history spanning over 150 years, the organization manages a vast and complex technology estate supporting sophisticated risk modeling, underwriting, and claims processing systems. As part of its ongoing technology modernization efforts, the company needed to migrate a critical shared Java library used across multiple applications. The library was built on outdated versions of Spring and Hibernate frameworks that had reached end of life, creating security, and support risks. Major challenges include:

  • End-of-life Technology Stack
  • Complex Framework Migration
  • Large Legacy Codebase
  • Risk of Manual Refactoring

Our Approach and Solution

Tech Mahindra implemented an AI-assisted modernization framework to streamline the migration of legacy Java applications to newer technology versions. The solution leveraged GitHub Copilot to automate and accelerate the refactoring of legacy Spring and Hibernate components, enabling developers to work faster and with greater accuracy.

Tech Mahindra also established standardized migration rules for persistence models, data access components, and framework-level updates. These predefined rules enabled the rapid conversion of legacy components into modern architectures while reducing risk and maintaining code quality. The rules covered everything from package naming conventions to persistence annotations.

Business and Community Impact

  • Reduced migration effort from approximately 742 hours to 62 hours
  • Achieved approximately 680 hours of effort savings
  • Reduced refactoring time from roughly 2 hours per class to 10 minutes per class
  • Successfully migrated 371 items, including 350+ classes
  • Delivered a production-ready release in just 3 weeks