Hey everyone 👋 I’m Mandip, a software developer who’s been building apps and backend systems mainly using Java.
Lately, I’ve been reflecting on how other developers are leveraging Java in their workplaces, whether it’s automation, data processing, or scalable APIs.
I’m curious about what keeps you motivated to keep learning Java updates and best practices when AI can already do so much? 🤔
For me, mastering the core concepts such as OOP, concurrency, collections, streams, JVM internals, and design patterns is what truly builds a strong foundation.
What do you think makes a good Java developer today? Let’s discuss and learn from each other! 🚀

All Java, All the time.

Newcomers to veterans, all are welcome to post and comment about anything Java related. Love it, hate it - all topics are safe here. 

Just Java

A developer reflects on Java development practices and poses questions about what makes a strong Java developer in the age of AI. The discussion touches on core concepts like OOP, concurrency, collections, streams, JVM internals, and design patterns as foundational skills. The author seeks community input on motivation for continuous learning and best practices in modern Java development.

Java Developer Reflection

In my opinion, AI can do as much as you know. What I mean by this is AI just follows your prompt. If your prompt is vague it will check the data it has and AI will implement what is commonly used. But in medium to large sized projects, most of the time you have to implement features tailored to your business. For example, my Exception handling has a translation system implemented in Front-end and I return Custom Error Keys and I also use custom error handling for my grpc. Asking AI to do this without understanding Java Features, Spring boot features and Architecture and also how gRPC works under the hood will result in broken code. So you have to be able to guide the AI as much as possible and what AI does best is consulting you rather than implementing for you.
So with all of these in mind I think as you said core concepts and design patterns enables us to guide AI in the right direction and also to be able to find debug and implement where AI is unable to do so.