Sure! Here is an example on how I do this:
using FileWatching
@async while true
watch_file("./tmp.jl")
println("Change Detected!")
end
This creates an asynchronous task in the background of your Julia REPL that can then run whatever command you want while you monitor a specific file (or folder). In this case, I am making the task print a statement that says “Change Detected!” to my REPL whenever there is a change in the file called “tmp.jl”. Here is a video showing blocking and asynchronous behavior:
I also use this same process when working with Weave to generate Weave on a change and then I use the node package, browser-sync, to reload my browser upon change to view my Weave made report. Happy to share that too!