If you want to learn how Spring framework and Spring boot works, the best thing to do is build your own library and then learn to add it to a new spring boot service.
https://www.baeldung.com/spring-boot-custom-starter
Depending on which AI tool you are using, you can also get it to debrief what it is doing and what layer of the Spring architecture it is using (lifecycle, bean scope, is it using auth/messaging/data middleware etc)
Also here is a service I have built with Claude code along with a sample Spring boot service
https://github.com/tomaytotomato/spring-data-solr-lazarus
It is a demo to show that I could get Apache Solr working in the latest version of Spring Framework 7 and Spring Boot 4. There is a sample application in there for a bookstore you can play around with.
Current plan is to use a existing vue/typescript browser game as frontend, send high score and similar via web sockets. Do ~something~ with red panda to tip my toes into the Kafka world.
I know I sometimes get demotivated mid-way, but that also tells me it might not be worth the investment
I still don't see why AI would be mandatory. It's helpful, yes, but not mandatory.
Everything can be an entry point and it's often non-obvious how things are structured.
More opinionated frameworks which enforce routes and consumers to be centrally managed are generally easier to figure out from the filesystem.
But if you've got an IDE like intellij you get the entry point tool which lists all endpoints. Consumers are more annoying...
I want to make an spring app, but instead of looking everything up on Google, I can ask the Ai with context and maybe give me an learning plan that fits my needs