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It looks like this is actually just the editor from Visual Studio Online unless I've missed something. It's great, but if it were really Visual Studio Code tha

It looks like this is actually just the editor from Visual Studio Online unless I've missed something. It's great, but if it were really Visual Studio Code that would be awesome and I'd be pleasantly surprised. (The difference being that if it's just the editor it misses out on all the compiler/analysis integrations. If Github were providing Linux containers in the cloud for working on projects - essentially the SSH feature from Visual Studio Code - it would be absolutely brilliant.)

cube00 5y ago
> Because there is no associated compute, you won’t be able to build and run your code or use the integrated terminal. Only a subset of extensions that can run in the web will appear in the Extensions panel and can be installed. Likewise, support for certain programming languages may be more limited in the web.
- headmelted 5y ago
  That's a shame, but at the same time a big step forward. Azure has had this for a few years now (unless there's upgrades in the Github version I'm not aware of) and it's been really useful for quick edits - will be good to see it develop now that it's sure to pick up much more use through GH.
csnweb 5y ago
I think what you might want is GitHub Codespaces?: https://github.com/features/codespaces https://github.com/features/codespaces. Was on HN recently too.
- messe 5y ago
  Hmm. $0.18 per hour for 4GB of RAM is a rather steep. A c6g.large on AWS would run you less than a half of that, for the same number of CPUs and memory. A quarter if you're happy to use spot instances. Might be neat to have an OSS tool that spins up an EC2 (or Azure or GCP) instance running Code-Server[1] (VS Code running natively on the server, but presenting the UI in the browser), with a given git repo and credentials. Admittedly, the storage costs would be higher. [1]: https://github.com/cdr/code-server https://github.com/cdr/code-server
  - westurner 5y ago
    The ml-workspace docker image includes Git, Jupyter, VS Code, SSH, and "many popular data science libraries & tools" https://github.com/ml-tooling/ml-workspace https://github.com/ml-tooling/ml-workspace docker run -p 8080:8080 -v "${PWD}:/workspace" mltooling/ml-workspace Cocalc-docker also includes Git, Jupyter, SSH, a collaborative LaTeX editor, a time slider, but no code-server or VScode out of the box: https://github.com/sagemathinc/cocalc-docker https://github.com/sagemathinc/cocalc-docker docker run --name=cocalc -d -v ~/cocalc:/projects -p 443:443 sagemathinc/cocalc
- headmelted 5y ago
  This is literally exactly what I would want, thanks!

cube00 5y ago

> Because there is no associated compute, you won’t be able to build and run your code or use the integrated terminal. Only a subset of extensions that can run in the web will appear in the Extensions panel and can be installed. Likewise, support for certain programming languages may be more limited in the web.

headmelted 5y ago
That's a shame, but at the same time a big step forward. Azure has had this for a few years now (unless there's upgrades in the Github version I'm not aware of) and it's been really useful for quick edits - will be good to see it develop now that it's sure to pick up much more use through GH.

csnweb 5y ago

I think what you might want is GitHub Codespaces?: https://github.com/features/codespaces https://github.com/features/codespaces. Was on HN recently too.

messe 5y ago
Hmm. $0.18 per hour for 4GB of RAM is a rather steep. A c6g.large on AWS would run you less than a half of that, for the same number of CPUs and memory. A quarter if you're happy to use spot instances. Might be neat to have an OSS tool that spins up an EC2 (or Azure or GCP) instance running Code-Server[1] (VS Code running natively on the server, but presenting the UI in the browser), with a given git repo and credentials. Admittedly, the storage costs would be higher. [1]: https://github.com/cdr/code-server https://github.com/cdr/code-server
- westurner 5y ago
  The ml-workspace docker image includes Git, Jupyter, VS Code, SSH, and "many popular data science libraries & tools" https://github.com/ml-tooling/ml-workspace https://github.com/ml-tooling/ml-workspace docker run -p 8080:8080 -v "${PWD}:/workspace" mltooling/ml-workspace Cocalc-docker also includes Git, Jupyter, SSH, a collaborative LaTeX editor, a time slider, but no code-server or VScode out of the box: https://github.com/sagemathinc/cocalc-docker https://github.com/sagemathinc/cocalc-docker docker run --name=cocalc -d -v ~/cocalc:/projects -p 443:443 sagemathinc/cocalc
headmelted 5y ago
This is literally exactly what I would want, thanks!