[1] And by "a bit ridiculous", I mean completely archaic.
[1] And by "a bit ridiculous", I mean completely archaic.
For example, if your application includes some state from previous actions. Then you change a function that acts on that state, but with a different protocol (e.g. data structure expectations changed in the function). Then your application would not work, as the old state is invalid for the new function. With techniques like explained in the article, you can quickly "reboot" your state to be consistent with your new code by reseeding your system.
I really don't see a good pain/gain ratio here. Clojure being a lisp you are already good for reloading functions. Only if you change data structures or macros you need to reboot. That I would think is a much less frequent operation for which a JVM restart is acceptable. (You also know that absolutely everything got reset.)
If restarting your JVM is ok with you, go for it! But I like what Stuart has presented and find it interesting, I'm all about minimizing interruptions while I'm working on something and will be trying to adapt his workflow to mine.
His workflow goes much deeper than just changing the code. The entire application state is abstracted away and you can reload the entire application state in under a second.
Think a little about the implications of that before posting.
user=> (use '[clojure.tools.namespace.repl :only (refresh)])
user=> (refresh)
What is described in the article is a little more advanced and has to do with how to control how your reloaded code deals with the old state.