Client: A healthcare/pharmacy software company Industry: Healthcare & Pharmacy Technology Services: Legacy System Modernization, AI-Accelerated Software Development Outcome: A five-month modernization estimate delivered approximately 40% faster, with a stronger architecture, a reusable component library, and no loss of system knowledge along the way. Modernizing legacy software often means rebuilding decades of business logic with little documentation, outdated technology, and growing …
Many legacy modernization projects start with a simple question: what does this thing actually do?
In this project, we were modernizing a decades-old Delphi application with limited documentation, no meaningful test coverage, engineers long since moved on, and significant unknowns about the environment in which it operated.
Modernizing legacy systems is challenging, particularly when documentation is limited and system knowledge has been lost over time. When LLMs and AI are applied thoughtfully, they can help teams understand legacy systems faster and reduce modernization risk.
This article focuses on how we used LLMs to understand, document, and de-risk an unfamiliar legacy system before modernization began. Once the application was understood and the architecture was defined, the team leveraged AI-assisted development workflows to accelerate the Delphi-to-.NET rewrite itself. Evan Sanning shares that side of the project in his companion article, How We Used LLMs to Rewrite a Legacy Delphi Application in C#.
We rewrote a legacy Delphi (Object Pascal) application into a .NET C# service worker in three months, beating a five-month deadline for a client in the healthcare software space.
Here’s what actually made that possible and the pitfalls we hit using LLMs along the way.
In this blog, I’ll demonstrate how to harness .NET MAUI’s capabilities by building a Google Maps app. I’ll walk you through how to set up your environment and how to integrate native services like the Google Maps Android SDK—all within the modern, unified framework that .NET MAUI provides.
Parts of this blog, including the code examples and architecture frameworks, were generated using Keyhole Software’s EnterpriseGPT web client—an open-source tool that empowers organizations to deploy user-friendly chatbot solutions with ease. Interested in exploring further? Contact our team, and we’d be happy to provide credentials for you to try it out. The Rise of Python and Other Languages We’ve seen …