Coder provides managed infrastructure for scaling autonomous development workflows while addressing the governance risks created when agents combine private data, untrusted content, and external communication. Agents often require broad code access, internal APIs, credentials, documents, and network connectivity, making policy boundaries essential. Coder runs each agent inside an isolated container or virtual-machine workspace with ephemeral resets, limiting the effect of compromised prompts or unintended actions. Central AI governance controls approved models and MCP tools, records usage, and supports security analytics and auditing regardless of the selected AI tool. Developers retain local-style control to install software, run processes, and debug, while administrators enforce identity

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