I feel like this is how I've been using docker all along. Use the tools inside to run like npm install, I guess the main difference is the code lives in the container instead of on you machine with volume?
All good, except ... how to configure that extension with non-docker runtimes? It seems heavily tied to docker and there is very little documentation and not working as of today in VS Code. Is it "the complexity of simplicity" again?
This is awesome, thanks James. Could you do more of this on how we can create containers deploy , for example .NET in a linux server? Otherwise you can point me where I can learn how to do it. Appreciate and thanks in advance
main benefits is that you get to basically containerize your entire dev environment inside of a container to do builds and dev on. This means each project could target specific versions of python or .net or java or whatever the project needs to keep your machine clean and also make it easier for others to collaborate as all of the dependencies are in the dev container
I feel like this is how I've been using docker all along. Use the tools inside to run like npm install, I guess the main difference is the code lives in the container instead of on you machine with volume?
All good, except ... how to configure that extension with non-docker runtimes? It seems heavily tied to docker and there is very little documentation and not working as of today in VS Code. Is it "the complexity of simplicity" again?
Should be able to just configure it: www.tecracer.com/blog/2023/01/devcontainers-on-windows-without-docker-for-desktop.html
Super concise and valuable, thanks
Please create a walk through on how to use slim bindings approach with firebase.
Thanks!!!
This is awesome, thanks James. Could you do more of this on how we can create containers deploy , for example .NET in a linux server? Otherwise you can point me where I can learn how to do it. Appreciate and thanks in advance
what's the benefit wrt conda environments?
main benefits is that you get to basically containerize your entire dev environment inside of a container to do builds and dev on. This means each project could target specific versions of python or .net or java or whatever the project needs to keep your machine clean and also make it easier for others to collaborate as all of the dependencies are in the dev container
thanks
nice
Sorry, why would you want to do this? What value does it bring to developers as far as ease of development or deployment?