# Coder
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Coder turns your cloud into a fleet of remote development servers.
**Code more**
- Build and test faster
- Leveraging cloud CPUs, RAM, network speeds, etc.
- Access your environment from any place on any client (even an iPad)
- Onboard instantly then stay up to date continuously
**Manage less**
- Ensure your entire team is using the same tools and resources
- Rollout critical updates to your developers with one command
- Automatically shut down expensive cloud resources
- Keep your source code and data behind your firewall
## How it works
Coder workspaces are represented with Terraform. But, no Terraform knowledge is
required to get started. We have a database of pre-made templates built into the
product.
Coder workspaces don't stop at compute. You can add storage buckets, secrets, sidecars
and whatever else Terraform lets you dream up.
[Learn more about managing infrastructure.](./docs/templates.md)
## IDE Support
You can use any Web IDE ([code-server](https://github.com/coder/code-server), [projector](https://github.com/JetBrains/projector-server), [Jupyter](https://jupyter.org/), etc.), [JetBrains Gateway](https://www.jetbrains.com/remote-development/gateway/), [VS Code Remote](https://code.visualstudio.com/docs/remote/ssh-tutorial) or even a file sync such as [mutagen](https://mutagen.io/).
## Installing Coder
We recommend installing [the latest
release](https://github.com/coder/coder/releases) on a system with at least 1
CPU core and 2 GB RAM:
1. Download the release appropriate for your operating system
1. Unzip the folder you just downloaded, and move the `coder` executable to a
location that's on your `PATH`
> Make sure you have the appropriate credentials for your cloud provider (e.g.,
> access key ID and secret access key for AWS).
You can set up a temporary deployment, a production deployment, or a system service:
- To set up a **temporary deployment**, start with dev mode (all data is in-memory and is
destroyed on exit):
```bash
coder server --dev
```
- To run a **production deployment** with PostgreSQL:
```bash
CODER_PG_CONNECTION_URL="postgres://@/?password=" \
coder server
```
- To run as a **system service**, install with `.deb` (Debian, Ubuntu) or `.rpm`
(Fedora, CentOS, RHEL, SUSE):
```bash
# Edit the configuration!
sudo vim /etc/coder.d/coder.env
sudo service coder restart
```
> Use `coder --help` to get a complete list of flags and environment
> variables.
See the [installation guide](./docs/install.md) for additional ways to deploy Coder.
## Creating your first template and workspace
In a new terminal window, run the following to copy a sample template:
```bash
coder templates init
```
Follow the CLI instructions to modify and create the template specific for your
usage (e.g., a template to **Develop in Linux on Google Cloud**).
Create a workspace using your template:
```bash
coder create --template="yourTemplate"
```
Connect to your workspace via SSH:
```bash
coder ssh
```
## Modifying templates
You can edit the Terraform template using a sample template:
```sh
coder templates init
cd gcp-linux/
vim main.tf
coder templates update gcp-linux
```
## Documentation
- [About Coder](./docs/about.md#about-coder)
- [Why remote development](./docs/about.md#why-remote-development)
- [Why Coder](./docs/about.md#why-coder)
- [What Coder is not](./docs/about.md#what-coder-is-not)
- [Comparison: Coder vs. [product]](./docs/about.md#comparison)
- [Templates](./docs/templates.md)
- [Manage templates](./docs/templates.md#manage-templates)
- [Persistent and ephemeral
resources](./docs/templates.md#persistent-and-ephemeral-resources)
- [Parameters](./docs/templates.md#parameters)
- [Workspaces](./docs/workspaces.md)
- [Create workspaces](./docs/workspaces.md#create-workspaces)
- [Connect with SSH](./docs/workspaces.md#connect-with-ssh)
- [Editors and IDEs](./docs/workspaces.md#editors-and-ides)
- [Workspace lifecycle](./docs/workspaces.md#workspace-lifecycle)
- [Updating workspaces](./docs/workspaces.md#updating-workspaces)
## Contributing
Read the [contributing docs](./docs/CONTRIBUTING.md).
## Contributors
Find our list of contributors [here](./docs/CONTRIBUTORS.md).