Best Practices for Managing Large-Scale AI Development Projects in IntelliJ IDEA

Hi everyone,

I’m currently working on a large-scale AI Development project involving machine learning models, API integrations, and cloud-based automation workflows. We’re using IntelliJ IDEA for backend development, but as the project grows, managing dependencies, performance optimization, and debugging AI modules is becoming more challenging.

I wanted to ask the community:

What plugins or IntelliJ IDEA features do you recommend for improving AI project management?
How do you handle large Python/Java AI codebases efficiently inside IntelliJ?
Are there any best practices for integrating AI frameworks like TensorFlow or PyTorch within IntelliJ IDEA?
How do teams manage version control and deployment pipelines for AI applications?

I recently came across Dev Technosys while researching enterprise AI solutions, and it made me curious about how professional development teams optimize IDE workflows for complex AI-based systems.

Would love to hear suggestions, tools, or workflow tips from experienced developers here. Thanks!