Code at AI speed.
Test with production confidence.

mirrord connects your AI agent’s locally generated code to your real Kubernetes cluster (live traffic, databases, queues, and services) without deploying anything. It overrides low-level syscalls so the agent’s code “thinks” it’s running in the cloud. Agent writes code, then runs it with mirrord against the cluster, checks the result, and iterates. This leads to feedback cycles dropping from minutes to seconds. See our detailed documentation page for more information.

Yes. Every agent and developer gets their own isolated session against the same shared staging cluster, no per-agent environments, no queueing, no risk of stepping on each other. monday.com replaced hundreds of per-developer environments with a single shared cluster. Platform teams install the mirrord operator once, and any number of agents can connect concurrently.

Yes. Today, most AI agents do about 20% of the job: they generate code from static files and docs, then hand it to a human who deploys it, discovers it breaks, and manually debugs the integration issues. mirrord closes that gap by giving the agent a real feedback loop. A mirrord-enabled agent can explore real APIs, inspect database schemas, observe message queue payloads, then write code, test it against real staging, see the real error, fix it, and re-test, autonomously. Here’s a step-by-step guide.

The open source CLI is free (MIT License) and it connects a single process to your cluster. Best for solo developers or agents.
mirrord for Teams ($40/seat/month, paid annually) adds the Operator for concurrent use: queue splitting, database branching, traffic filtering, RBAC, and session management.
Enterprise (custom pricing) adds CI pipeline support, preview environments, airgapped clusters, high availability, and dedicated support.
No credit card required to start a free trial. See full pricing here, or reach out to book a demo.