.NET dependencies chained the platform to Windows, blocking new features. Manual migration was out of reach—AWS automated it.
A South Korea-based travel and leisure company operating a global platform for accommodations, ticketing, and activities, running over 1.5 million lines of legacy .NET Framework code across approximately 1,500 source files.
.NET Framework dependencies locked the platform to Windows infrastructure, limiting scalability and making it difficult to introduce new features...
“As our platform grew, we began to run into clear limitations with the .NET Framework, especially around scalability, maintenance, and understanding our legacy systems.”
Online travel and leisure platform for tours, ticketing, and booking services.
Cloud computing platform and on-demand infrastructure services.
Nol Universe's Code modernization is part of this use case:
Related implementations across industries and use cases
Building prototypes took months. Engineers now use structured markdown to guide an AI IDE in generating standardized code and test cases.
Each Angular upgrade consumed months of manual testing. Agentic AI finds and fixes breaking changes, freeing engineers for clinical work.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
Building prototypes took months. Engineers now use structured markdown to guide an AI IDE in generating standardized code and test cases.
Each Angular upgrade consumed months of manual testing. Agentic AI finds and fixes breaking changes, freeing engineers for clinical work.
Manual dispatching bottlenecked guest requests. Now, an in-app AI instantly routes tasks to optimal staff and tracks execution.
Legal spent hundreds of hours parsing 100-page scanned contracts. Now, multi-stage AI extracts clauses upon upload for instant search.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.
.NET dependencies chained the platform to Windows, blocking new features. Manual migration was out of reach—AWS automated it.
A South Korea-based travel and leisure company operating a global platform for accommodations, ticketing, and activities, running over 1.5 million lines of legacy .NET Framework code across approximately 1,500 source files.
.NET Framework dependencies locked the platform to Windows infrastructure, limiting scalability and making it difficult to introduce new features...
“As our platform grew, we began to run into clear limitations with the .NET Framework, especially around scalability, maintenance, and understanding our legacy systems.”
Online travel and leisure platform for tours, ticketing, and booking services.
Cloud computing platform and on-demand infrastructure services.
Nol Universe's Code modernization is part of this use case:
Related implementations across industries and use cases
Building prototypes took months. Engineers now use structured markdown to guide an AI IDE in generating standardized code and test cases.
Each Angular upgrade consumed months of manual testing. Agentic AI finds and fixes breaking changes, freeing engineers for clinical work.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
Building prototypes took months. Engineers now use structured markdown to guide an AI IDE in generating standardized code and test cases.
Each Angular upgrade consumed months of manual testing. Agentic AI finds and fixes breaking changes, freeing engineers for clinical work.
Manual dispatching bottlenecked guest requests. Now, an in-app AI instantly routes tasks to optimal staff and tracks execution.
Legal spent hundreds of hours parsing 100-page scanned contracts. Now, multi-stage AI extracts clauses upon upload for instant search.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.