AI is already in your software development lifecycle. The question is how you manage it.
AI tools are here, but most enterprises lack a safe way to adopt them. Uncontrolled AI tools in local development introduce security risk, shadow usage, and rising costs, while blocking AI slows delivery. With Coder, bring AI into the mix with enforced guardrails and production-ready governance.
Controlled deployment
Unlike SaaS platforms, Coder runs fully on your infrastructure and integrates with SSO, IAM, and monitoring tools. This keeps source code off third parties and meets strict data sovereignty and compliance requirements.
Faster time to market
Define development environments as code using Terraform to speed up onboarding. With Coder, standardize tools and policies eliminating setup delays and reduce time to delivery.
Resource optimization
Provision GPUs, run agents in parallel using efficient bin-packing, and control costs with resource limits and usage tracking. Developers gain powerful environments while platform teams maintain visibility and optimize spend.
We are reliant on Coder right now to roll out Claude Code and Codex since it's the path of least resistance for centralizing model configuration.
Get visibility and control with
Coder
Get visibility and control with Coder
Offload long-running tasks to agents in isolated workspaces.
Build with tools you love
Move AI agents into production with Coder. Securely introduce AI through a self-hosted control plane that governs model access, MCP tools, agent identity, network egress, and spend before AI ever reaches developer devices.
AI adoption with standardization
Coder accelerates AI adoption by using templates to define ephemeral, isolated workspaces with pre-defined context, network access, and tooling. Agents are provisioned on demand in standardized environments running on customer-controlled infrastructure, not laptops, allowing platform teams to onboard new agents quickly without reworking security or compliance controls.
Centralized visibility and audibility
Coder AI Bridge is an LLM gateway that brings visibility and control to AI coding agents like Claude Code. It replaces scattered API keys and MCP tools on developer laptops with centralized authentication, user-level tracking, cost monitoring, and complete audit trails. The result: compliant AI adoption without sacrificing productivity or creating governance gaps.
Restricted agent access
With Coder, AI agents operate under least-privileged access, separate from their human counterparts, reducing the attack surface. When agents require private data, external communication, and protection from untrusted context, isolated environments are mandatory. Agent Boundaries restrict which domains and networks agents can access. As agents run autonomously, it enforces distinct permissions and guardrails.
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