I’m trying to optimize a Java program that processes large CSV files, but I keep running into performance bottlenecks and memory issues. I want to improve both speed and memory usage without completely rewriting the code.
I’ve been experimenting with AI tools like:
How can I use these AI platforms effectively to:
Identify slow parts of the code (profiling hints)
Suggest memory-efficient alternatives for large data processing
Refactor loops and streams for better performance
Are there any best practices for integrating AI suggestions into real Java projects without blindly copying code? Examples or step-by-step approaches would be really helpful.