## Summary This change removes the steady-state "resolve the latest workspace agent" query from chat execution. Instead of asking the database for the latest build's agent on every turn, a chat now persists the workspace/build/agent binding it actually uses and reuses that binding across subsequent turns. The common path becomes "load the bound agent by ID and dial it", with fallback paths to repair the binding when it is missing, stale, or intentionally changed. ## What changes - add `workspace_id`, `build_id`, and `agent_id` binding fields to `chats` - expose those fields through the chat API / SDK so the execution context is explicit - load the persisted binding first in chatd, instead of always resolving the latest build's agent - persist a refreshed binding when chatd has to re-resolve the workspace agent - keep child / subagent chats on the same bound workspace context by inheriting the parent binding - leave `build_id` / `agent_id` unset for flows like `create_workspace`, then bind them lazily on the next agent-backed turn ## Runtime behavior The binding is treated as an optimistic cache of the agent a chat should use: - if the bound agent still exists and dials successfully, we use it without a latest-build lookup - if the bound agent is missing or no longer reachable, chatd re-resolves against the latest build and persists the new binding - if a workspace mutation changes the chat's target workspace, the binding is updated as part of that mutation To avoid reintroducing a hot-path query, dialing uses lazy validation: - start dialing the cached agent immediately - only validate against the latest build if the dial is still pending after a short delay - if validation finds a different agent, cancel the stale dial, switch to the current agent, and persist the repaired binding ## Result The hot path stops issuing `GetWorkspaceAgentsInLatestBuildByWorkspaceID` for every user message, which is the source of the DB pressure this PR is addressing. At the same time, chats still converge to the correct workspace agent when the binding becomes stale due to rebuilds or explicit workspace changes.
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.
