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Running Codex safely at OpenAI

2026-05-12 · openai

OpenAI published a practical safety write-up on how it operates Codex internally. The piece focuses on the controls that make agentic coding workable in real environments, not just impressive in demos.

Key Features or Updates

The post highlights sandboxing, approval flows, network policies, and telemetry as the core safety stack for Codex. That combination is meant to keep the agent useful while limiting blast radius when it writes or executes code.

Impact on Developers

This is most relevant for teams trying to adopt coding agents without losing control. It reinforces that the winning pattern is not "full autonomy," but constrained autonomy with auditability.

How to use it

If you're building agent workflows, mirror the same shape: isolate execution, require approvals for risky steps, and log enough context to debug decisions later. The article is also a solid reference for internal policy design.

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