1) The project does support config. So if you want to change (e.g.) the number of AZs, you can say
$ pulumi config set numberOfAvailabilityZones 3
$ pulumi up
And Pulumi will compare the current infrastructure with the new goal state, show you the diff, and then let you deploy the minimal set of changes to bring the actual state in line with the new goal state. This works very much like Terraform, CloudFormation, Kubernetes, etc.2) You can make this into a library using standard language techniques like classes, functions, and packages. These can use a combination of configuration as well as parameterization. If you wrote it in Python, you can publish it on PyPI, or JavaScript on NPM, or Go on GitHub -- or something like JFrog Artifactory for any of them. This makes it easy to share it with the community or within your team.
3) We offer some libraries of our own, like this one: https://github.com/pulumi/pulumi-awsx/tree/master/nodejs/aws.... That includes an abstraction that's a lot like the Terraform module you've shown, and cuts down even further on LOC to spin up a properly configured VPC.
I am a big Go fan too, so I very much know what you're saying. (In fact, we implemented Pulumi in Go.) Even with Go, though, you've got funcs, structs, loops, and solid basics. Simply having those goes a long way -- as well as great supporting tools -- and you definitely do not need to go overboard with abstraction to get a ton of benefit right out of the gate.
Again, I'm biased and YMMV :-)