Running on Azure is not the same as migrating to Azure.

Making big changes like the tech that underpins your product while still actively developing that product means a lot of things in a complicated system changing at once which is usually a recipe for problems.

Incidentally I think that is part of the current problem with AI generated code. Its a fire hose of changes in systems that were never designed or barely holding together at their existing rate of change. AI is able to produce perfectly acceptable code at times but the churn is high and the more code the more churn.