Note that enforcement and checking usage will come in a future PR. This feature is implemented differently than existing features in a few ways. It's highly recommended that reviewers read: - This document which outlines the methods we could've used for license enforcement: https://www.notion.so/coderhq/AI-Agent-License-Enforcement-21ed579be59280c088b9c1dc5e364ee8 - Phase 0 of the actual RFC document: https://www.notion.so/coderhq/Usage-based-Billing-AI-b-210d579be592800eb257de7eecd2d26d ### Multiple features in the license, a single feature in codersdk Firstly, the feature is represented as a single feature in the codersdk world, but is represented with multiple features in the license. E.g. in the license you may have: { "features": { "managed_agent_limit_soft": 100, "managed_agent_limit_hard": 200 } } But the entitlements endpoint will return a single feature: { "features": { "managed_agent_limit": { "limit": 200, "soft_limit": 100 } } } This is required because of our rigid parsing that uses a `map[string]int64` for features in the license. To avoid requiring all customers to upgrade to use new licenses, the decision was made to just use two features and merge them into one. Older Coder deployments will parse this feature (from new licenses) as two separate features, but it's not a problem because they don't get used anywhere obviously. The reason we want to differentiate between a "soft" and "hard" limit is so we can show admins how much of the usage is "included" vs. how much they can use before they get hard cut-off. ### Usage period features will be compared and trump based on license issuance time The second major difference to other features is that "usage period" features such as `managed_agent_limit` will now be primarily compared by the `iat` (issued at) claim of the license they come from. This differs from previous features. The reason this was done was so we could reduce limits with newer licenses, which the current comparison code does not allow for. This effectively means if you have two active licenses: - `iat`: 2025-07-14, `managed_agent_limit_soft`: 100, `managed_agent_limit_hard`: 200 - `iat`: 2025-07-15, `managed_agent_limit_soft`: 50, `managed_agent_limit_hard`: 100 Then the resulting `managed_agent_limit` entitlement will come from the second license, even though the values are smaller than another valid license. The existing comparison code would prefer the first license even though it was issued earlier. ### Usage period features will count usage between the start and end dates of the license Existing limit features, like the user limit, just measure the current usage value of the feature. The active user count is a gauge that goes up and down, whereas agent usage can only be incremented, so it doesn't make sense to use a continually incrementing counter forever and ever for managed agents. For managed agent limit, we count the usage between `nbf` (not before) and `exp` (expires at) of the license that the entitlement comes from. In the example above, we'd use the issued at date and expiry of the second license as this date range. This essentially means, when you get a new license, the usage resets to zero. The actual usage counting code will be implemented in a follow-up PR. ### Managed agent limit has a default entitlement value Temporarily (until further notice), we will be providing licenses with `feature_set` set to `premium` a default limit. - Soft limit: `800 * user_limit` - Hard limit: `1000 * user_limit` "Enterprise" licenses do not get any default limit and are not entitled to use the feature. Unlicensed customers (e.g. OSS) will be permitted to use the feature as much as they want without limits. This will be implemented when the counting code is implemented in a follow-up PR. Closes https://github.com/coder/internal/issues/760
Coder enables organizations to set up development environments in their public or private cloud infrastructure. Cloud development environments are defined with Terraform, connected through a secure high-speed Wireguard® tunnel, and automatically shut down when not used to save on costs. Coder gives engineering teams the flexibility to use the cloud for workloads most beneficial to them.
- Define cloud development environments in Terraform
- EC2 VMs, Kubernetes Pods, Docker Containers, etc.
- Automatically shutdown idle resources to save on costs
- Onboard developers in seconds instead of days
Quickstart
The most convenient way to try Coder is to install it on your local machine and experiment with provisioning cloud development environments using Docker (works on Linux, macOS, and Windows).
# First, install Coder
curl -L https://coder.com/install.sh | sh
# Start the Coder server (caches data in ~/.cache/coder)
coder server
# Navigate to http://localhost:3000 to create your initial user,
# create a Docker template and provision a workspace
Install
The easiest way to install Coder is to use our
install script for Linux
and macOS. For Windows, use the latest ..._installer.exe file from GitHub
Releases.
curl -L https://coder.com/install.sh | sh
You can run the install script with --dry-run to see the commands that will be used to install without executing them. Run the install script with --help for additional flags.
See install for additional methods.
Once installed, you can start a production deployment with a single command:
# Automatically sets up an external access URL on *.try.coder.app
coder server
# Requires a PostgreSQL instance (version 13 or higher) and external access URL
coder server --postgres-url <url> --access-url <url>
Use coder --help to get a list of flags and environment variables. Use our install guides for a complete walkthrough.
Documentation
Browse our docs here or visit a specific section below:
- Templates: Templates are written in Terraform and describe the infrastructure for workspaces
- Workspaces: Workspaces contain the IDEs, dependencies, and configuration information needed for software development
- IDEs: Connect your existing editor to a workspace
- Administration: Learn how to operate Coder
- Premium: Learn about our paid features built for large teams
Support
Feel free to open an issue if you have questions, run into bugs, or have a feature request.
Join our Discord to provide feedback on in-progress features and chat with the community using Coder!
Integrations
We are always working on new integrations. Please feel free to open an issue and ask for an integration. Contributions are welcome in any official or community repositories.
Official
- VS Code Extension: Open any Coder workspace in VS Code with a single click
- JetBrains Toolbox Plugin: Open any Coder workspace from JetBrains Toolbox with a single click
- JetBrains Gateway Plugin: Open any Coder workspace in JetBrains Gateway with a single click
- Dev Container Builder: Build development environments using
devcontainer.jsonon Docker, Kubernetes, and OpenShift - Coder Registry: Build and extend development environments with common use-cases
- Kubernetes Log Stream: Stream Kubernetes Pod events to the Coder startup logs
- Self-Hosted VS Code Extension Marketplace: A private extension marketplace that works in restricted or airgapped networks integrating with code-server.
- Setup Coder: An action to setup coder CLI in GitHub workflows.
Community
- Provision Coder with Terraform: Provision Coder on Google GKE, Azure AKS, AWS EKS, DigitalOcean DOKS, IBMCloud K8s, OVHCloud K8s, and Scaleway K8s Kapsule with Terraform
- Coder Template GitHub Action: A GitHub Action that updates Coder templates
Contributing
We are always happy to see new contributors to Coder. If you are new to the Coder codebase, we have a guide on how to get started. We'd love to see your contributions!
Hiring
Apply here if you're interested in joining our team.
