Why Java developers should use Embabel for AI agents

If you're a Java developer and your management tells you to write AI agents in Python, show them this comparison between Embabel and the popular LangGraph Python agent framework. Point out that writing in Java with Embabel: - Will give you frictionless access to existing domain models and infrastructure - Will avoid error prone magic strings throughout your code - Will give you a much more elegant API - Will facilitate established best practices like unit testing - Will avoid the need to stand up a new stack It's a no brainer. If you have zero enterprise applications in Python, that remains the right number. https://lnkd.in/gdXM6F26 #java Matt Asay #spring #springboot

What you said about JVM infrastructure really hits home... we've got so much Java already running that switching frameworks feels like starting from scratch when we don't need to

This is the first time I've heard of Embabel but very much related to this. The argument is always, we can implement this in Python in a third of the time. Yes you can probably implement it faster in Python. But speed is not the only factor to consider when choosing software implementation. Java takes longer because it has a robust compiler and type safety. Although I do like the sounds of Magic Strings. JEP 790 Java 31 - Magic String

See more comments

To view or add a comment, sign in

Explore content categories