AI-Powered Application Modernization: Code Raider

"Undocumented legacy systems contain critical business logic that has evolved over years—or decades—through countless developers, architectural shifts, and business rule changes. Application modernization projects struggle when teams cannot answer fundamental unknowns: Who uses it? What domains does this system serve? Where are the integration points? What workflows are embedded in the code?

Traditional documentation efforts are manual, time-consuming, and often incomplete. No more suffering, Code Raider, utilizing AWS Transform and Kiro, automates the discovery process using GenAI agents that work together to study, analyze, and document your legacy codebase — accelerating your application migration from assessment to planning.

For business stakeholders, Code Raider translates buried code into crystal-clear intelligence. Our reports instantly reveal user personas, access hierarchies, and daily workflows. It bridge the IT-business gap with automated domain mapping, uncovering hidden edge cases while generating a shared business glossary derived directly from your documents, codes, and comments. For system engineers, Code Raider eliminates the manual grind of untangling spaghetti code. Framework Analysis. Identify third-party services. Architecture review. Security protocol identification. Limited regression test coverage? Let Raider do the heavy lifting for you.

Rather than guesswork, Code Raider provides moderization recommendations by qualifying system complexity across key dimensions: number of frontend pages, external dependencies, UI/UX workflow complexity, business rule complexity, and number of user roles. This enables you to assess migration effort, identify system dependencies, and prioritize modernization based on actual system complexity —building a solid foundation for your migration roadmap.

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