Precisely. As a real world example, I have a repository that basically is a large collection of code modules that runs on three different runtime environments.

Precisely. As a real world example, I have a repository that basically is a large collection of code modules that runs on three different runtime environments. One of these run times is a Hadoop cluster, where we could happily shadowJar all of our massive dependencies (like Spark) into a giant multi-hundred-mb jar file and have no issues. Another one is a client desktop environment that is shipped to thousands of desktop users with each version release. Most of the code is reused between the two runtimes so it makes no sense to separate them. Therefore we build the project without the fat dependencies in the binary so we can ship the slim version to the client runtime without forcing huge download every release.