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Run local code against a real Kubernetes cluster without deploying
mirrord is a Kubernetes development platform from MetalBear that connects a locally running process to a live cluster, so file I/O, network calls, DNS, environment variables and secrets are transparently proxied through a temporary pod instead of requiring a deploy. The open-source CLI covers individual use, while the commercial mirrord for Teams adds the mirrord Operator for session isolation, queue splitting, database branching, RBAC and audit logging on a shared cluster. Teams also use it to give AI coding agents such as Claude Code, Cursor and Copilot a real feedback loop against staging infrastructure.
Runs your code on your laptop while its file, network, DNS and environment calls are proxied into a real Kubernetes cluster, so you get production-like fidelity without deploying anything.
A Kubernetes operator installed in your cluster that isolates concurrent sessions, so many developers and agents can target the same shared staging environment without stepping on each other.
Splits message-queue traffic so a local process consumes only the messages meant for it, instead of stealing from the shared workload.
Gives a session its own branch of the target database so writes during local testing do not contaminate the shared environment.
Access controls that restrict which targets and namespaces a user can connect to, plus usage monitoring and auditing for who ran what against the cluster.
Lets coding agents such as Claude Code, Cursor, Copilot, Codex and Windsurf run and verify their generated code against live services, read-only by default. Locally run agents are included in the seat price.
Engineers run services on their laptops wired into one shared cluster's real databases, queues and dependencies, so the team stops provisioning and maintaining a full environment per developer.
Claude Code, Cursor, Copilot and similar agents execute their generated code against live services and verify it themselves, read-only by default, instead of guessing against mocks.
Enterprise teams point CI integration suites at the actual staging cluster rather than spinning up ephemeral clusters or maintaining mock services that drift from production.
Enterprise feature that deploys a change into the cluster on its own TTL with request isolation, so a PR can be reviewed as a running environment rather than a diff.
Enterprise feature that runs CI integration tests against your real staging cluster instead of maintaining ephemeral clusters or stale mocks.
Works at the libc and syscall layer, so it supports Go, Rust, Node.js, Python, Java, Kotlin, Ruby, .NET and PHP, with VS Code and JetBrains plugins.
Targets multi-pod deployments, Jobs and StatefulSets, with high availability, live scaling and air-gapped cluster support on Enterprise.
Deploy a branch into the cluster with request isolation and a TTL so reviewers and stakeholders click through a running change instead of reading a diff.
New hires connect to the shared cluster instead of spending days standing up a local stack; monday.com reports onboarding dropping from 3-5 days to under an hour.
Attach a local debugger to a service that sees the cluster's real traffic, secrets and service mesh, which reproduces integration bugs that never appear against mocks.

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