imagiko

What considerations go in when a company decides to restrict codebase access to respective teams? I cannot see any code another team is working on. How common is this practice? What can one gauge about the company culture if this is the case?

How did your team build out AI/ML pipelines and integrated it with your existing codebase? For example, how did your backend team(using Java?) work in sync with data teams (using R or python?) to have minimal rewriting/glue code as possible to deploy models in production. What were your architectural decisions that worked, or didn't?

I'm currently working to make an ML model written in R work on our backend system written in Java. After the dust settles I'll be looking for ways to streamline this process.