Coder

Self-hosted infrastructure for running AI coding agents under enterprise control

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Screenshot of Coder, Self-hosted infrastructure for running AI coding agents under enterprise control

What is Coder?

Coder is a self-hosted platform that combines standardized development workspaces, a model-agnostic AI coding agent, and centralized governance with audit logging. It targets enterprise platform and security teams that need AI-assisted development to run on their own infrastructure under their own policies.

Coder is a self-hosted development infrastructure platform built around three layers: standardized cloud workspaces, an AI agent layer, and governance tooling that sits on top of both. The core argument of the product is that developers already operate inside policy, review and audit frameworks, while the AI assistants they use often do not. Coder closes that gap by moving agent activity onto infrastructure the organization owns, where permissions, logging and model access can be dictated centrally. In practice, teams provision development environments from a shared configuration rather than letting each engineer assemble a local machine. Those self-hosted workspaces give developers and agents the same consistent starting point, which removes the configuration drift that makes debugging and onboarding slow. On top of that, Coder Agents provides a native AI coding agent that can be pointed at whichever model the company chooses, and Coder AI Governance acts as a gateway: it centralizes model access, applies policy to environments, and records usage so that every AI request can be observed and audited after the fact. The intended buyer is an enterprise platform, DevOps or security engineering group rather than an individual developer. The reference list (Dropbox, Palantir, J.B. Hunt, Discord, Square, Mercedes, KKR, PsiQuantum and a U.S. Department of Defense software group) points to organizations with compliance obligations and large engineering headcounts, and the published case studies emphasize measurable outcomes such as faster onboarding and steep reductions in VDI cost. Compared with hosted AI coding assistants, Coder competes on control rather than on model quality. The tradeoff is that it is infrastructure: someone has to run it, and the value only materializes once workspaces and policies are properly designed. Teams that just want a chat assistant in their editor are not the audience. Teams that want agentic coding to pass a security review are.

How do you use Coder?

  1. 1Install Coder on your own infrastructure
    Start from the downloads page to get the self-hosted server running in your environment. This is the foundation every workspace and agent policy will sit on.
  2. 2Start a trial deployment
    Request a trial to evaluate the platform before committing. Use it to test workspace provisioning and agent behavior against your own repositories and policies.
  3. 3Define standardized workspaces
    Configure workspace templates so developers and agents start from the same reproducible environment. Review the workspaces solution page for the supported model.
  4. 4Connect models through the agent layer
    Point Coder Agents at the AI model of your choice and route requests through the platform rather than individual developer accounts.
  5. 5Apply governance and audit policies
    Set model access rules, environment policies and logging in the governance layer so every AI request is observable and attributable.
  6. 6Talk to sales about scale and compliance
    Once the pilot works, engage the sales team for licensing, deployment scale and the compliance documentation your security reviewers will ask for.

Pros and cons

Pros

  • Keeps AI agent activity on infrastructure the organization owns and controlsAI
  • Model-agnostic agent layer avoids locking teams into a single AI vendorAI
  • Governance console centralizes model access, policy enforcement and audit trailsAI
  • Standardized workspaces reduce environment drift for humans and agents alikeAI
  • Backed by published enterprise deployments including Dropbox, Palantir and DiscordAI

Cons

  • Self-hosted by design, so the operating burden falls on your platform teamAI
  • Value depends on significant upfront configuration of workspaces and policiesAI
  • Not a drop-in editor plugin, which makes individual adoption awkwardAI
  • No public pricing, so cost requires a sales conversationAI
  • Overkill for small teams without compliance or audit requirementsAI

How much does Coder cost?

Free trial

The site offers a trial entry point alongside the self-hosted install, so teams can evaluate the platform on their own infrastructure before a commercial agreement.

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Features

Three product layers: Coder Workspaces for standardized self-hosted development environments, Coder Agents for a native AI coding agent that works with any model of your choosing, and Coder AI Governance for centralized model access, policy-controlled environments, observability and auditability across AI usage.

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Frequently asked questions about Coder

  • Does Coder offer a free trial?
    The site offers a trial entry point alongside the self-hosted install, so teams can evaluate the platform on their own infrastructure before a commercial agreement.
  • How do you use Coder?
    The walkthrough on this page covers 6 steps: 1. Install Coder on your own infrastructure 2. Start a trial deployment 3. Define standardized workspaces 4. Connect models through the agent layer 5. Apply governance and audit policies 6. Talk to sales about scale and compliance.
  • What platforms does Coder support?
    Coder is available on Linux, MacOS and Windows.
  • What are the limitations of Coder?
    Self-hosted by design, so the operating burden falls on your platform team. Value depends on significant upfront configuration of workspaces and policies. Not a drop-in editor plugin, which makes individual adoption awkward.

Status

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Added10/21/2026

Platforms

LinuxMacOSWindows

Pricing

PaidFree Trial