And, you know, if you had a decent set of anonymised or fictitious customer data to work with, you wouldn't need to run your IDE in docker, and there would be l

And, you know, if you had a decent set of anonymised or fictitious customer data to work with, you wouldn't need to run your IDE in docker, and there would be less surface area for attackers to get to the data. I see this particular development environment as an advantage for this particular situation. I work in health care, and in R&D we often have to help debug issues with a client implementation, which means having an anonymized snapshot of their data in our reporting system. Typically, we end up passing around DB backups and zip files of the client-specific code. It would be significantly easier to fire up a Docker container that was ready to go.