Swapping an ML model shouldn't require weeks of refactoring. If changing a model breaks your business logic, your architecture—not your AI—is the problem. Nikita Golovko shows how Hexagonal Architecture keeps Spring Boot ML systems maintainable. Read: https://javapro.io/2026/08/19/hexagonal-architecture-for-machine-learning-ports-adapters-and-model-versioning-in-spring-boot/#Java #SpringBoot #MachineLearning
Swapping an ML model shouldn't require weeks of refactoring. If changing a model breaks your business logic, your archit...
