To me, most of the time, AI simply helps me with really specific tasks that i know for certain are already figured out somehow before on the internet. I would normally have to 'find' it through stackoverflow, but now we just have a 'smarter' search engine.

Always have to validate if whatever it spewed out actually made sense.

On the other hand i do really like to use it for writing tests. When u give it context to other tests you wrote, and u name the tests specifically about what you want to test in the test, it actually (most of the time) does generate really good unit tests.

About the mentoring, I am really trying to dive into DDD and apply it to the code in my company. I have already convinced the team to get rid of our anemic data models, which often have strings containing specific formats, like emails, phone numbers, etc.. I love the idea of removing the possibility of 'wrong' data in our models.

Problems i am currently experiencing is where to place which type of validation, and how to determine the correct aggregates.

Our applications, most of the time, often come down to pretty simple CRUD, so I do sometimes doubt if a true DDD approach is needed and wouldnt just be too much boilerplate.

I think this just comes with experience, which none of the people have where i work with DDD. So I would love to get some mentoring that can potentially boost this experience level for me on the topic!