mirrord for AI Agents

Turn your AI agents into autonomous developers

Use mirrord to instantly validate every change against your live staging environment — multiple agents, same cluster, no conflicts.

Try mirrord for free Book a Demo

Claude, Codex, Cursor,
Windsurf & others or CLI

No credit card needed

Fast setup, no config needed

Some of the teams shipping at AI speed with mirrord

Before mirrord

AI generates code fast, but testing it means waiting for staging deployments
Local mocks fail to capture real-world conditions
Untested AI code often breaks the environment, making it unusable for other team members
Expensive, separate cloud environments for every dev
AI Agents lack the mechanisms to quickly and autonomously test their work across a live system

After mirrord

Test AI-generated code in cloud conditions within seconds
Live traffic, databases, and queues, no mocks required
Safe isolation to prevent breaking shared environments
One shared, cost-efficient staging cluster for the whole team
Any number of AI agents can test their code concurrently against the same environment

1
Install mirrord
One command, no config needed. Works with any language or framework.
2
Point to your cluster
Connect to any Kubernetes namespace. Your local code sees real services, databases, and queues.
3
Run your AI agent
Code runs locally, tests execute against live services. Pass/fail feedback in seconds.

Validate in seconds.

Get real feedback from real environments, no deploy required. Watch your agent self-correct before the PR is even opened.

Try mirrord for free

Works with your tools

Your AI agent's Kubernetes environment, ready in minutes

No builds, no deploys, no waiting. mirrord instantly gives your AI agent real cluster feedback. Pick your preferred tool to get started.

Claude Setup guide →

Codex Setup guide →

Cursor Setup guide →

Start Validating Agentic Code with mirrord

Concurrency

Any number of AI agents can test code concurrently in the same environment.

Platform teams install the operator once. Every developer and every AI agent can connect to the real cluster through their own isolated layer.

Try now for free

Team of AI agents developing and testing code in parallel on Kubernetes

Guide

Set up mirrord with your AI tool in 3 steps

Step-by-step guide for Claude, Cursor, Codex, GitHub Copilot, and Windsurf.

Docs · 3 min read Read guide →

Blog

How To Prevent Token Burn Using mirrord With E2E Tests

Learn how E2E tests with mirrord catch errors early — before your agent wastes cycles retrying.

Apr 1, 2026 · 6 min read Read article →

Blog

Enable Self-Correcting AI Agents Through Autonomous Integration Testing

Let agents run real E2E tests against a live cluster and fix their own failures.

Sep 9, 2025 · 11 min read Read article →

Blog

Testing Is the New Bottleneck for AI-Driven Software Development

Why the AI dev feedback loop is broken, and how remocal testing fixes it.

Mar 12, 2026 · 6 min read Read article →

Guide

Run your first AI agent against a live Kubernetes cluster

Hands-on walkthrough: connect your agent to a real cluster with mirrord in minutes.

Docs · 5 min read Read guide →

How does mirrord work with AI agents?

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.

Can multiple AI agents and engineers test concurrently on the same cluster?

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.

Can mirrord take an agent from code generator to something closer to an autonomous developer?

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.

How much does it cost?

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.