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Technology

Secure environments. Built for developers and AI agents.

Streaming giants and AI innovators choose Coder to give their builders a premium developer experience.

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Tech companies often face a critical decision: build or buy.

Many attempt to create internal development environment solutions, only to encounter complexity and scale issues. That’s when they turn to Coder, an AI development infrastructure designed to solve these challenges and more.

Developer experience

Developers can move quickly, spin up new environments in minutes, and avoid the pain of troubleshooting or rebuilding complex local environments.

Code with AI agents

Code and data stay within your controlled infrastructure providing context and secure boundaries for adopting AI agents and tools.

Operational efficiency

Build with tools of your choice. Manage resources more effectively or shut down idle instances—optimizing spend without sacrificing performance.

Enterprises deploying Coder at scale

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Why fast moving tech companies choose Coder

Coder’s open-source, cloud-based platform delivers the flexibility teams need while also providing context and guardrails needed to run a platform for humans and agents to build together.

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Improving developer experience by reducing build times 78% with Coder
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FAQs

How does Coder support compliance with regulations like GDPR and DORA?
Coder runs in your own infrastructure, and we don't have access to your workspaces or source code. You keep control of where data lives, who can access it, and how long logs are kept, which supports your GDPR and DORA obligations. Self-hosting alone doesn't make a deployment compliant: that depends on how you configure and operate Coder. Coder collects product telemetry by default, and you can turn it off.
Does Coder have a SOC 2 Type II report?
Does Coder work with my existing tools?
How does Coder support compliance in highly regulated industries?
What IDEs and languages are supported?
Is Coder secure enough for regulated industries?
Can I use Coder with AI coding agents or ML workloads?