Reminds me of what I did to bring AI into my SpringBoot Java app. I just created a Python-based WebService (microservice), that deploys as part of my docker stack, and now I get the benefit of everything going on in the AI world which is mostly Python, with no lag. Meanwhile other Java Develpers are busy trying to port all that stuff over into Java language. To me that porting is just a waste of time. Let AI stay in Python. It's a win/win, imo. Of course I had to learn Python, but as a Java Dev it came easy. Other Java devs are [mostly] too stubborn to try Python if you ask me. Sorry if this drifted off topic, but it shows how you don't have to be a purist, but you can just do what works and is easiest.
The right tool for a given problem is usually much more ergonomic and productive. To me purism of language or tooling is a disservice to an engineer’s instinct of solving a problem. Use Python where it is a strong option. Use Spring Boot where it makes sense.
BTW, I’m also on a similar trajectory using a mix of Java, Python and Node.js to solve different problems. It has been very pleasant experience compared to if I had been bullish on just one of these languages and platforms.
I think that's very smart, thanks for sharing! With the prevalence of coding agents currently the cost of context/language switching is much lower and these best-of-breed multilang setups are likely to become more prevalent in the future.
Right, and when I "learned" Python it was basically by asking an AI agent to generate whatever I wanted to do, and then looked at what it generated. For example, I'd just say stuff like "How does Python do hashmaps?" or "How can I loop over this array", etc. AI wrote most of my AI Python code!
