Overview
Set up development environments in your public and private clouds. Environments are defined with Terraform, connected through a secure high-speed tunnel, and are automatically shut down when not in use to save on costs. Coder gives engineering teams the flexibility to use the cloud for workloads that are most beneficial to them.
Developers can connect to Coder workspaces with VS Code Remote, JetBrains Gateway, SSH as well as web IDEs such as JupyterLab, code-server, RStudio, and web terminals.
Highlights
- Onboard developers in seconds instead of days
- Define development environments in Terraform (EC2 VMs, Kubernetes Pods, Docker Containers, etc.)
- Automatically shutdown idle resources to save on costs
Details
Unlock automation with AI agent solutions

Features and programs
Financing for AWS Marketplace purchases
Pricing
- ...
| Dimension | Cost/hour | 
|---|---|
| t2.xlarge  Recommended | $0.00 | 
| t2.micro AWS Free Tier | $0.00 | 
| t3.micro AWS Free Tier | $0.00 | 
| m3.xlarge | $0.00 | 
| c6a.large | $0.00 | 
| c6a.16xlarge | $0.00 | 
| c6id.8xlarge | $0.00 | 
| m5dn.2xlarge | $0.00 | 
| hs1.8xlarge | $0.00 | 
| m6in.12xlarge | $0.00 | 
Vendor refund policy
No refunds
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Legal
Vendor terms and conditions
Content disclaimer
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Updated to Coder 2.12.0
Additional details
Usage instructions
See https://coder.com/docs/install/cloud/ec2Â for usage instructions.
Resources
Vendor resources
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Great for Remote Devs, devcontainer + GPU support needs to be improved
Easy Deployment, efficient workspaces, and cost savings that pay for themselves in very short order
Coder Transformed Our Development Workflow with Easy GPU Sharing and User-Friendly Interface
The platform is extremely user-friendly. For us, having a clean user interface instead of depending on CLI commands or YAML files was a significant advantage. With just a few clicks, our developers can launch workspaces and connect using their preferred IDEs. The learning curve is minimal: any developer can get started with Coder immediately, without any prior experience.
Another feature we appreciate is the ability to create templates. We maintain various templates with all the dependencies our different teams need, updating them regularly. This ensures that no one has to waste time setting up or installing packages; as soon as a workspace is launched, everything is ready to use.
We run Coder on Kubernetes, which makes integration with standard K8s tools like Karpenter, OpenCost, Argo CD, and Prometheus straightforward. The setup process was also simple. Deploying Coder using the provided documentation and Helm chart in Kubernetes was quick and smooth.
Even though we’re using the Community Edition, their support through Discord has been great, whenever we’ve asked a question the team has always replied and helped us out.
Previously, sharing a machine was nearly impossible: developers had to connect manually via SSH, set up their own directories, and there was no effective way to isolate resources when several people were working simultaneously.
Coder addresses this issue perfectly: developers can simply choose the amount of CPU, RAM, and GPU they require, and Coder automatically finds a machine that meets those requirements and isolates those resources for them.

