How much memory does it use? My emacs instance uses ~200M with a moderate amount of files(along with other processes mostly repls). I would imagine VSCode to be in the same ballpark, and 200M is not that of a big deal imo.
https://blog.xinhong.me/post/sublime-text-vs-vscode-vs-atom-...
But an even better test is when using these editors on large projects with hundreds or thousands of files. Atom is a disaster. I tried to like VSCode and except Electron part and baggage it is great.
For this reason, I am switching to vim for everything except Java/Kotlin. There is nothing even remotely close to IntelliJ for Java or Kotlin and you can use very nice vim bindings in IntelliJ. I also keep Sublime installed for quick file edits when browsing the filesystem with GUI apps.
I don't see why it shouldn't be. Just make sure you're reading the right column. In this case I think you want to look at "Commit Size".
I wrote up an explanation for some of the other columns a few years back: https://stackoverflow.com/a/2031886/3712
Here's another article with more recent details: http://blogs.microsoft.co.il/sasha/2016/01/05/windows-proces...
No.
Short response: Try committing 1 TiB of memory without touching it and tell me how successful you are.
Long response: Unlike Linux, Windows doesn't overcommit. It is completely irrelevant whether physical pages have been actually allocated to back the the virtual pages that are committed. The fact that the virtual pages are committed means that there are guaranteed to be physical pages available somewhere when the need arises for them to be allocated (whether they are in the page file or in physical memory is irrelevant; what matters is that the storage space exists one-to-one), i.e. the fact that some virtual pages are committed means you have lost that much physical memory from the system already... which is exactly the number you want to look at when you're trying to figure out how much memory a program is using (since the entire point is to see how much memory it'll leave you for other programs).
(And shared memory is pretty much irrelevant for VSCode so let's not go on an irrelevant tangent.)
It is in fact the only relevant thing with memory; physical memory is the constrained resource. If you're constrained on swap space, you're going to spend the rest of the year swapping.
Overcommitting is neither here nor there; a failure to have a backing store for memory (whether in physical memory or page file) will result in OOM, but nobody is actually worried about OOM. Editors and systems lose responsiveness long before then. The failure mode from apps using too much memory is swapping, not OOM.
Part of the reason measuring memory usage from a process stats perspective is so hard is because some memory is more important than others; in particular, access patterns matter. If a process is starting to swap, whether you see a cliff edge in performance, or a more gradual decline, comes down to the access pattern. The working set concept approximates the "frequently used" quantity of memory, which is why Task Manager uses it by default, but it's subtle since it's not a simple function of allocation.