A legacy enterprise application modernized into .NET and React in weeks with AI-accelerated delivery.
Modernizing a Business-Critical Legacy Application
A UK-based enterprise organization in the real estate and enterprise software space needed to modernize a business-critical application built on a legacy SPX/.NET stack spanning more than 400 screens. As maintenance complexity and long-term risk increased, the business needed a faster and more practical path to a modern, sustainable architecture.
Proving a Faster Path to Modernization
A conventional migration would have required a larger team and several months of delivery effort. The challenge was to determine whether an AI-assisted approach could accelerate modernization, reduce cost, preserve functional behavior, and avoid unnecessary disruption to the underlying application and data model.
Building the Migration with AI Acceleration
An AI-assisted migration approach combined architectural guardrails, reusable patterns, and modern engineering standards to move a large legacy application onto a modern stack in a fraction of the expected timeline.
AI-Assisted Migration Framework
Cursor IDE with Codex High was used to drive migration execution through a bootstrap setup with architectural standards, reusable migration skills, and iteratively refined rules.
Modern .NET and React Target Stack
The application was migrated to .NET 10, React, and Entity Framework, creating a cleaner and more maintainable foundation for future development.
Low-Disruption Data Layer Modernization
The existing database schema was preserved, with modernization focused on the data access layer rather than structural database changes.
Consistent UI and Functional Validation
UI styling was aligned to a reference application for visual consistency, while core functionality was validated across matching records, CRUD operations, and report outputs.
A large legacy application was modernized in weeks rather than months, showing how AI-accelerated delivery can reduce cost and effort while maintaining quality.
~400+ Screens Modernized
A large business-critical application was successfully migrated to a modern technology stack without a traditional multi-month rewrite.
Delivered in ~3 Weeks
The migration was completed in approximately three weeks by a single developer, significantly accelerating delivery compared with a conventional approach.
AI Cost of ~$1,500–$3,000
AI tooling costs remained relatively low, demonstrating a highly efficient modernization model for legacy system transformation.
Functional Parity Validated
The migrated application was validated against core business behavior, including matching records, CRUD operations, and reporting outputs.
Tech Behind
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