Keming

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Since `envd` already supports `expose`, `daemon`, `mount`, I think it can be done in the following way: ```py def tensorboard(): io.mount(src="/var/log/tensorboard", dest="./logs") runtime.daemon(commands=[ ["tensorboard", "--logdir", "./logs", "--port", "8888"], ]), runtime.expose(envd_port=8888,...

Can refer to the discussion about the project name: - https://github.com/tensorchord/envd/issues/2#issuecomment-1119175904

logo draft by @lilylee1874 ![image](https://user-images.githubusercontent.com/12974685/179539833-e0fecbfd-ed0f-4cec-b553-3a1d058fcfc3.jpeg)

![image](https://user-images.githubusercontent.com/12974685/182058096-fc2e04b6-8b3c-4385-ba1e-c5d21e9393aa.png) Can you find "ENVD" in this picture?

![envd-logo](https://user-images.githubusercontent.com/12974685/190859682-6ff5b1d1-4b58-410c-954a-6c5e63806fe9.gif)

Can we support `envd up -f ` to build and run the remote envd file?

interactive shell: * https://github.com/charmbracelet/gum

* closed by https://github.com/tensorchord/envd/pull/779

The design of `state` in `bulidkit` looks suitable for method chaining. *Pros* * commands run in order * users can control which parts are run in parallel *Cons* * need...