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Coder

An enterprise platform for deploying self-hosted development environments and AI coding agents on governed infrastructure, giving platform teams control over security, models, and spend.

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Description

Coder is an enterprise platform for running self-hosted development environments and AI coding agents on governed infrastructure. It gives developers a secure environment to use any AI model or agent, while giving platform teams centralized control over security, model access, and spend.

The platform moves development into secure, high-performance self-hosted environments, so teams can build with AI agents on infrastructure they control with full visibility. Coder Agents provide native AI coding agents that work with any model, Coder AI Governance centralizes model access and policy-controlled environments with observability and auditability across all AI usage, and Coder Workspaces offer standardized, self-hosted environments where developers and agents build side by side.

Coder is used by enterprises at scale, including in security-sensitive settings, and meets SOC 2 Type II requirements with regular security audits and penetration tests. Coder Community lets teams create unlimited workspaces and users, while Coder Premium adds enhanced security, scalability, and governance such as multi-organization access controls and comprehensive audit logging.

Coder's Core Features

  • Self-hosted development environments on infrastructure you control

  • Native AI coding agents that work with any model

  • Centralized AI governance with model access policies

  • Full observability and auditability across all AI usage

  • Standardized workspaces for developers and agents

  • Multi-organization access controls and audit logging (Premium)

  • SOC 2 Type II compliance with regular security audits

  • Unlimited workspaces and users on Coder Community

How to use Coder?

  1. Deploy Coder: Set up Coder on your own self-hosted infrastructure.

  2. Create workspaces: Provision standardized environments for developers and agents.

  3. Configure governance: Set model access, permissions, and policies centrally.

  4. Build with AI: Run AI coding agents with any model inside governed environments.

  5. Audit and scale: Monitor AI usage with observability and audit logs, and scale across teams.

Coder's Use Cases

  • Governed AI development
  • Secure development environments
  • AI usage governance
  • Regulated enterprises

FAQ from Coder

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