Kyle Carberry
bca0ce04ca
Makes the chat context foundation from #26385 live. That PR added the storage columns, writer queries, and a dormant `agentapi.ContextDirtyMarker` trigger with no production callers; this PR wires them together end to end. When a workspace agent pushes a context snapshot, bound chats now hydrate to that snapshot's hash, and a later push with a different hash flips already-pinned chats to dirty (emitting a `context_dirty` watch event after the transaction commits). Chat creation pins the agent's latest snapshot when one already exists. The experimental chat API exposes this as `Chat.Context` (`*ChatContext` with `dirty`, `dirty_since`, `error`), and a new `PUT /api/experimental/chats/{chat}/context` endpoint re-pins the agent's latest snapshot and clears the dirty marker. `context_dirty_resources` stays NULL (the resource-level diff is deferred to the UI phase) and the live per-turn context pull is unchanged. The end-to-end test provisions a workspace agent via the echo provisioner, connects it over the Agent API v2.10, and exercises the full path: an initial push hydrates a bound chat (clean), a second push with a different hash marks it dirty, the API reports the dirty state, and the refresh endpoint clears it. <details> <summary>Decision log</summary> - **API shape — sub-struct.** Dirty state is surfaced as `codersdk.Chat.Context *ChatContext { Dirty bool; DirtySince *time.Time; Error string }` rather than flat fields, matching the RFC's named `ChatContext` type and leaving room for future fields (resource diff, sources). `db2sdk.Chat` populates it when the chat is context-tracked (`len(ContextAggregateHash) > 0`), dirty, or carries a snapshot error, and leaves it nil (`omitempty`) otherwise. `Dirty` mirrors `context_dirty_since` being set. - **Marker wiring.** The chat daemon is injected directly as the `agentapi.ContextDirtyMarker`. It is unconditionally constructed (only its background worker is gated), so the marker is always non-nil and the wiring matches every other `api.chatDaemon` call site. `agentapi` still treats a nil marker as "chatd absent", so `PushContextState` stays a pure write path for any future caller that does not wire chatd in. - **Refresh is atomic.** `RefreshChatContext` reads the agent's latest snapshot and re-pins the chat in one repeatable-read transaction, so a concurrent push cannot land between the read and the write and leave the chat pinned to a stale hash with the dirty marker cleared. - **Hydrate + dirty run inside the push transaction.** The fan-out shares the push's transaction so a concurrent refresh cannot interleave with the version gate; `context_dirty` watch events publish only after commit. The pinned hash on dirtied chats is intentionally left unchanged — the refresh endpoint re-pins it. - **Dirtied chats keep their pinned hash.** Drift is advisory: a dirty chat stays usable, and refreshing is the only path that advances the pinned hash. - **Test binds `chats.agent_id` directly.** In production the binding is set lazily during a chat turn (`chatd.persistBuildAgentBinding`); the test sets it via `dbgen` so it exercises the context flow rather than turn resolution. Plan: `coderd/x/chatd` context integration + E2E (sub-struct API, create-time + push-time hydration, refresh endpoint; `context_dirty_resources` and the per-turn pull untouched). </details> 🤖 Generated by Coder Agents on behalf of @kylecarbs
About
Coder is a self-hosted platform for running AI coding agents and cloud development environments on infrastructure you control. It works with any cloud, IDE, OS, Git provider, and IDP.
Coder Workspaces
Coder Workspaces are cloud development environments defined with Terraform, connected through a secure Wireguard tunnel, and automatically shut down when not in use. Agents and developers share the same workspace infrastructure.
- Defined in Terraform: Templates describe the infrastructure for each workspace, from EC2 VMs and Kubernetes Pods to Docker containers.
- Any architecture and OS: Support ARM and x86-64 across Windows, Linux, and macOS from a single deployment.
- Managed by admins: Platform teams create and maintain templates that enforce approved images, resource limits, and security policies.
- Accessed from any IDE: Connect through VS Code, JetBrains, Cursor, a web terminal, remote desktop, or SSH.
- Automatic shutdown: Idle workspaces stop automatically to reduce cloud spend, and restart in seconds when needed.
Coder Agents
Coder Agents is a native AI coding agent built into Coder. The agent loop runs in the Coder control plane on your infrastructure, not in the workspace and not in a vendor's cloud. Developers interact with agents through the web UI or the REST API for programmatic and CI-driven workflows.
- Self-hosted agent loop: The control plane handles planning, model calls, and tool dispatch. Workspaces have zero AI awareness.
- No API keys in workspaces: LLM credentials stay in the control plane.
- Any model: Anthropic, OpenAI, Google, Bedrock, or self-hosted endpoints. Switching is a configuration change.
- Governance and cost controls: Centralized model approval, per-user spend limits, and audit logging.
- Open source and inspectable: The full platform is available to audit and extend.
IDE support
You can use:
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Any Web IDE, such as
- code-server
- JetBrains Projector
- Jupyter
- And others
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Your existing remote development environment:
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A file sync such as Mutagen
Why remote development
Provisioning consistent development environments for a large engineering team is difficult. Each developer has preferences for operating systems, editors, and toolchains, and ensuring a reliable build environment across all of them is a maintenance burden. A missed step during onboarding or an unsupported local configuration can cost hours of debugging.
Remote development solves this by moving the environment off the developer's machine and into managed infrastructure. The developer's laptop becomes a portal into the actual compute where work happens. If a device is lost or replaced, access is simply revoked; no source code or credentials are stored locally.
This approach provides:
- Speed: Server-grade hardware accelerates builds, tests, and large workloads without requiring expensive local machines.
- Consistency: Infrastructure tools such as Terraform, nix, Docker, and Dev Containers produce identical environments for every developer.
- Security: Source code stays on private servers. Users and groups are managed through SSO and RBAC.
- Compatibility: Workspaces share infrastructure configurations with staging and production, reducing configuration drift.
- Accessibility: Browser-based IDEs and remote IDE extensions let developers work from any device, including lightweight laptops, Chromebooks, and tablets.
Read more on the Coder blog, the Slack engineering blog, or from Alex Ellis at OpenFaaS.
Why Coder
The key difference between Coder and other platforms is that the entire system, agent loop, control plane, model routing, and workspace provisioning, runs on infrastructure you control.
For agents, this means platform teams can:
- Run the entire agent loop on their infrastructure, with no SaaS dependency for orchestration.
- Define MCP servers, skills, and system prompts centrally so every agent session starts with the same tools, policies, and context.
- Keep LLM credentials out of workspaces entirely.
- Tie every agent action to an authenticated user identity.
- Support air-gapped and restricted-network deployments with self-hosted models.
For workspaces, this means admins can:
- Support any architecture (ARM, x86-64) and operating system (Windows, Linux, macOS).
- Modify pod/container specs, such as adding disks, managing network policies, or setting/updating environment variables.
- Use VM or dedicated workspaces, developing with Kernel features (no container knowledge required).
- Enable persistent workspaces, which are like local machines, but faster and hosted by a cloud service.
Pricing
Coder is free and open source under the GNU Affero General Public License v3.0. All developer productivity features are included in the open source version. A Premium license is available for enhanced support and custom deployments.
How Coder works
Coder workspaces are represented with Terraform, but you do not need to know Terraform to get started. The Coder Registry provides production-ready templates for AWS EC2, Azure, Google Cloud, Kubernetes, and other providers.
Providers and compute environments
Workspaces can include more than just compute. Terraform can add storage buckets, secrets, sidecars, and other resources.
See the templates documentation for details.
What Coder is not
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Coder is not an infrastructure as code (IaC) platform.
- Terraform is the first IaC provisioner in Coder, allowing Coder admins to define Terraform resources as Coder workspaces.
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Coder is not a DevOps/CI platform.
- Coder workspaces can be configured to follow best practices for cloud-service-based workloads, but Coder is not responsible for how you define or deploy the software you write.
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Coder is not an online IDE.
- Coder supports common editors, such as VS Code, vim, and JetBrains, all over HTTPS or SSH.
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Coder is not a collaboration platform.
- You can use Git with your favorite Git platform and dedicated IDE extensions for pull requests, code reviews, and pair programming.
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Coder is not a SaaS/fully-managed offering.
- Coder is a self-hosted solution. You must host Coder in a private data center or on a cloud service, such as AWS, Azure, or GCP.