How to run AI coding agents in a secure sandbox: Claude Code, Codex, Cursor, and OpenCode

AI coding agents such as Claude Code, Codex, Cursor, and OpenCode can autonomously modify files, execute commands, install packages, and access networks, creating security risks if they operate directly on local systems or production infrastructure. Secure execution environments should therefore use strong isolation, preferably microVMs for untrusted workloads, alongside ephemeral sessions, default-deny outbound networking, scoped runtime credential injection, resource controls, and detailed audit logging. Northflank Harnesses are presented as cloud-based environments for running these agents with dedicated resources and configurable networking, using Kata Containers with Cloud Hypervisor by default and offering gVisor as an alternative. Harnesses can run on Northflank-managed infrastructure or within customer cloud accounts through BYOC, support repository connections and SSH-based local access, and integrate secrets management, RBAC, SSO, persistent storage where needed, and workload monitoring. The approach aims to limit the impact of prompt injection, compromised code, misconfiguration, or unexpected agent behavior while allowing teams to use autonomous coding tools in controlled development and production workflows.

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