How to Run Claude Code and Cursor Agents Against Real Infrastructure Without Production Credentials

AI coding agents such as Claude Code and Cursor can be tested against real infrastructure without production credentials by assigning each task or pull request an isolated, ephemeral environment containing synthetic or masked data, short-lived identity-based credentials, deny-by-default permissions, and revocable, auditable identities. The approach rejects read-only production access because live data, secrets, and logs can be exposed through prompt injection or overly broad permissions, while local mocks alone may not capture the behavior of managed cloud services. It recommends using OIDC or workload identity mechanisms across AWS, GCP, Azure, and Kubernetes, restricting network egress, injecting secrets only at runtime, requiring human approval for destructive infrastructure changes, and destroying environments after merges or inactivity. Built-in agent permissions can constrain local behavior but do not replace cloud IAM and RBAC controls, and the piece compares cloud-native DIY implementations, review-app services, and Qovery’s bring-your-own-cloud platform as ways to manage per-environment lifecycle, access controls, and deployment workflows.

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