Coder powers secure, scalable development across key industries — automotive, finance, government, and technology — enabling faster builds, tighter compliance, and seamless AI adoption in enterprise-grade cloud environments.
Coder Workspaces already lets teams run AI tools like
Cursor and
Claude Code inside their
development environments. As adoption grows, many enterprises also need
observability, management, and policy controls to support secure and auditable
AI rollouts.
The AI Governance Add-On is a separate, per-user license for Premium customers.
It is not included with a Premium subscription and must be purchased separately.
Each user with the add-on gets access to a set of features
that help organizations safely roll out AI tooling at scale:
AI Gateway: LLM gateway to audit AI sessions, central
MCP server management, and policy enforcement
Agent Firewall: Process-level firewalls for
agents, restricting which domains can be accessed by AI agents
Note
As of Coder v2.32, the AI Governance Add-On is required to use AI Gateway and Agent Firewall.
Deployments without the add-on cannot access these features.
Who should use the AI Governance Add-On
The AI Governance Add-On is for teams that want to extend the Coder platform to
support AI-powered IDEs and coding agents in a controlled, observable way.
It's a good fit if you're:
Rolling out AI-powered IDEs like Cursor and AI coding agents like Claude Code
across teams
Looking to centrally observe, audit, and govern AI activity in Coder
Workspaces
Managing AI workflows against sensitive or regulated codebases
If you already use other AI Governance tools, such as third-party LLM gateways
or vendor-managed policies, you can continue using them. Coder Workspaces can
still serve as the backend for development environments and AI workflows, with
or without the AI Governance Add-On.
Use cases for AI Governance
Organizations adopting AI coding tools at scale often encounter operational and
security challenges that traditional developer tooling doesn't address.
Auditing AI activity across teams
Without centralized monitoring, teams have no way to understand how AI tools are
being used across the organization. AI Gateway provides audit trails of prompts,
token usage, and tool invocations, giving administrators insight into AI
adoption patterns and potential issues.
Restricting agent network access
AI agents can make arbitrary network requests, potentially accessing unauthorized services or exfiltrating data.
Agent Firewall enforces process-level policies that restrict which domains agents can reach and what actions they can perform,
preventing unintended data exposure and destructive operations like rm -rf.
Centralizing API key management
Managing individual API keys for AI providers across hundreds of developers
creates security risks and administrative overhead. AI Gateway centralizes
authentication so users authenticate through Coder, eliminating the need to
distribute and rotate provider API keys.
Standardizing MCP tools and servers
Different teams may use different MCP servers and tools with varying security
postures. AI Gateway enables centralized MCP administration, allowing
organizations to define approved tools and servers that all users can access.
Measuring AI adoption and spend
Without usage data, it's hard to justify AI tooling investments or identify
high-leverage use cases. AI Gateway captures metrics on token spend, adoption
rates, and usage patterns to inform decisions about AI strategy.
GA status and availability
Starting with Coder v2.30 (February 2026), AI Gateway and Agent Firewall are
generally available as part of the AI Governance Add-On.
To learn more about enabling the AI Governance Add-On, pricing, or trial
options, reach out to your
Coder account team.
How Coder Tasks usage is measured
Note
There is a known issue with how Agent Workspace Builds are tallied in v2.28
and v2.29. We recommend updating to v2.28.9, v2.29.4, or v2.30 to resolve
this issue.
The usage metric used to measure Coder Tasks consumption is called Agent
Workspace Builds (prev. "managed agents").
An Agent Workspace Build is counted each time a workspace is started
specifically for a coding agent to independently work on a Coder Task. Most of
the work in this workspace is performed by the agent, not a human developer.
Each Coder Task starts its own workspace, and the usage meter counts one Agent
Workspace Build.
Traditional Coder Workspaces started manually by developers or scheduled to
auto-start do not count as an Agent Workspace Build. These are considered
daily-driver development environments where developers co-exist with their IDEs
and coding assistants.
Scenarios
Scenario
Consumes Agent Workspace Build
Developer creates a Coder Task to write end-to-end tests
Yes
Automated pipeline creates a task via Coder Tasks CLI (with Claude Code) to review a pull request
Yes
Developer resumes an old Coder Task order to continue prototyping
Yes
Developer starts a workspace for use with VS Code and Jupyter
No
Developer creates a workspace for use with Cursor and Claude Code CLI
No
Developer creates a workspace for use with Coder AI Gateway and Agent Firewall
No
In the future, additional capabilities for managing agents (beyond Coder Tasks)
may also consume agent workspace builds.
Agent Workspace Build Limits
Without proper controls and sandboxing, it is not recommended to open up Coder
Tasks to a large audience in the enterprise. Both Community and Premium
deployments include 1,000 Agent Workspace Builds, primarily for proof-of-concept
use and basic workflows. Community deployments do not have access to
AI Gateway or Agent Firewall.
Our AI Governance Add-On includes a shared usage pool of
Agent Workspace Builds for automated workflows, along with limits that scale
proportionately with user count. Usage counts are measured and sent to Coder via
usage data reporting. Coder Tasks and other AI
features continue to function normally even if the limit is breached. Admins
will receive a warning to contact their account team
to remediate.
Tracking Agent Workspace Builds
Admins can monitor Agent Workspace Build usage from the Coder dashboard.
Navigate to Deployment > Licenses to view current usage against your
entitlement limits.
Agent Workspace Build usage showing current consumption against
entitlement limits in the Licenses page.
Identifying AI seat consumers
When the AI Governance add-on is licensed, the Users table and
Organization Members table display an AI add-on column that shows
whether each user is consuming an AI seat:
A green check icon indicates the user is actively consuming an AI seat.
A gray X icon indicates the user is not consuming an AI seat.
A user consumes an AI seat when they use AI features such as AI Gateway or
Tasks. The column helps administrators identify which users contribute to
the organization's AI seat count, making it easier to manage seat
allocations and stay within license limits.
The AI add-on column only appears when the deployment has an active
ai_governance_user_limit entitlement. If the entitlement is not present
or the license has expired, the column is hidden.
Tip: Hover over the AI add-on column header for a tooltip
describing what the column represents.