The developers who built your custom software are gone. Maybe an internal team turned over, a longtime contractor retired, or the agency responsible for the application is no longer available. The software may still be running, but the people who understood its architecture, deployment process, hidden business rules, and accumulated quirks are no longer there to answer questions.

If you have a Xamarin.Forms application that needs to move to .NET MAUI, the word migration can make the project sound like a complete rewrite.

If your Xamarin app still works, it is reasonable to wonder why you need to migrate it at all.

AI is very good at making a software idea sound more complete than it really is.

The right way to build software has been known since 1970, proven on flagship programs, and priced out of reach of everyone else ever since. This is the story of that fifty-year gap — what the theory prescribed, what real-world budgets actually permitted, and how AI coding agents are closing it: one old practice at a time.

AI Code Review: Who Verifies AI-Generated Software?

The software still works, which is usually the first argument for leaving it alone.

The demonstration went well. The application accepted a request, generated the right response, and completed a task that normally takes someone much longer, so everyone left the meeting impressed.

When an engineer leaves, the initial plan usually feels manageable: someone else will step in, spend a few days getting up to speed, and keep the roadmap moving forward. However, this is often the moment when the questions begin. Suddenly, the team finds themselves wondering why changing a simple field breaks the reporting process, or which service is actually responsible for a specific calculation. They might encounter a dependency that everyone is afraid to touch or find that the application behaves unpredictably in production without any clear explanation.