Your team’s using Claude Code, Codex, Cursor? @coderhq runs the agent on your own infra - isolated, any model, fully audited. Real diffs, real control. https://t.co/PY15T8qudw https://t.co/d0syBMOi4Y

Coder Agents - AI Coding Agents on Your Infrastructure | Coder

Source: https://coder.com/solutions/agents?utm_source=X&utm_medium=fnf&utm_campaign=coder-august&utm_term=aosmani&utm_content=coder-agents

AI is already used bydevelopers, marketing managers, designers, product managers, financial analysts, HR leaders. Now platform teams need a deployment model the enterprise can actually approve.

Govern and audit AI coding workflows.

The entire agent loop runs in the Coder control plane on infrastructure you control. Platform teams gain centralized visibility into prompts, tool calls, models, spend, and agent activity, with governance controls built for enterprise deployment.

• Model Governance—Centrally approve providers, models, private endpoints, and enterprise API keys so developers use only sanctioned options.

• Usage Limits & Cost Tracking—Set per-user and per-group spend controls and monitor usage across models, users, and chats.

• No API Keys in Workspaces—LLM credentials exist only in the control plane, eliminating a critical exfiltration path.

• Workspace Governance—Restrict which workspace templates agents can use so they only run on approved infrastructure.

• User Identity on Every Action—Tie every agent action to an authenticated identity through your existing SSO stack for attribution, auditability, and accountability.

• Standardized MCP and Skills—Configure and extend agent behavior with centrally managed MCP tools, skills, and policies.

Use a single control plane to run agents and automatically provision workspaces only when compute is needed. No separate service to deploy, and no extra agent platform to set up or manage.

Bring any model.

Connect the models that work for your organization, from Anthropic, OpenAI, Google, and Bedrock to self-hosted endpoints. Switching models is a configuration change, not a platform migration.

Trigger agents anywhere.

Use the chat UI for foreground work, or trigger background tasks through the Coder Agents API. Integrate with CI pipelines, GitHub Actions, Slack, Jira, and other systems to automate work end to end.

Measure adoption and outcomes.

Track usage, attribution, and outcomes across your organization, including token consumption, model selection, pull request activity, and merge rates.

Self-hosted and fully inspectable.

Run Coder Agents inside your VPC, on-prem environment, or air-gapped enclave. Source code stays inside your perimeter, and the agent architecture is open to inspection, extension, and control.