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AI Engineering
MIT Technology Review·Sep 1·5 min read
Making the AI-powered case for legacy modernization
TL;DR
Bupa successfully modernized its My Bupa mobile application by migrating from Xamarin to native Swift and Kotlin, resulting in a significant app rating increase and reduced crash rates. This transformation, aided by AI, highlights the shift in legacy modernization from a daunting task to a strategic opportunity.
✦ Why It Matters
Evaluate your legacy systems today and consider AI-assisted modernization strategies to enhance user experience.
Key Takeaways
- Assess the risks of maintaining legacy systems before they become critical failures.
- Utilize AI tools to streamline legacy modernization processes.
- Focus on preserving business logic during technology transitions.
- Prioritize user experience improvements in modernization efforts.
How It Works
Bupa's modernization involved AI-assisted reverse engineering to extract and document legacy code, enabling a smoother transition to native platforms while preserving essential business functionality.