When discussing this problem with ChatGPT it indeed said the best solution for this is for frameworks to be designed in a way that encourages extensibility: so a framework should stick to its core principles but allow “plugins” to extend its functionality for very specific use-cases. But I understand there’s always a trade off here, as simplicity in the framework shifts the complexity to the application.
One example of a framework that takes this approach is Apache Royale. It’s a reboot of the AS3 language and component library that works like Adobe/Apache Flex but compiles to JS targeting the browser runtime. This refactored Flex was rebuilt from the ground up with a Pay As You Go (PAYG) philosophy where components are composed of „beads“ on a strand that enable composition of the functionality you need rather than the kitchen sink.
