mirrord for AI Agents | Turn Agents into Autonomous Developers<br>mirrord for AI AgentsTurn your AI agents<br>into autonomous developers<br>Use mirrord to instantly validate every change against your live staging environment — multiple agents, same cluster, no conflicts.<br>Try mirrord for free<br>Book a Demo
Claude, Codex, Cursor,<br>Windsurf & others or CLI
No credit card needed
Fast setup, no config needed
Some of the teams shipping at AI speed with mirrord
What is mirrordmirrord gives your AI agents instant, real-world feedback from your Kubernetes cluster
Before mirrord<br>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<br>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
How it worksUp and running in minutes<br>From install to validated code in under a minute. No deploys, no staging queues.
1Install mirrord<br>One command, no config needed. Works with any language or framework.
2Point to your cluster<br>Connect to any Kubernetes namespace. Your local code sees real services, databases, and queues.
3Run your AI agent<br>Code runs locally, tests execute against live services. Pass/fail feedback in seconds.
Validate in seconds.<br>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 toolsYour AI agent's Kubernetes environment, ready in minutes<br>No builds, no deploys, no waiting. mirrord instantly gives your AI agent real cluster feedback. Pick your preferred tool to get started.
Claude<br>Setup guide →
Codex<br>Setup guide →
Cursor<br>Setup guide →<br>Start Validating Agentic Code with mirrord
ConcurrencyAny number of AI agents can test code concurrently in the same environment.<br>Platform teams install the operator once. Every developer and every AI agent can connect to the real cluster through their own isolated layer.<br>Try now for free
Learn moreMore on local Kubernetes environments for AI agents<br>Latest guides and deep dives on testing and running AI-generated code against real cloud services.
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GuideSet up mirrord with your AI tool in 3 steps<br>Step-by-step guide for Claude, Cursor, Codex, GitHub Copilot, and Windsurf.<br>Docs · 3 min read<br>Read guide →
BlogHow To Prevent Token Burn Using mirrord With E2E Tests<br>Learn how E2E tests with mirrord catch errors early — before your agent wastes cycles retrying.<br>Apr 1, 2026 · 6 min read<br>Read article →
BlogEnable Self-Correcting AI Agents Through Autonomous Integration Testing<br>Let agents run real E2E tests against a live cluster and fix their own failures.<br>Sep 9, 2025 · 11 min read<br>Read article →
BlogTesting Is the New Bottleneck for AI-Driven Software Development<br>Why the AI dev feedback loop is broken, and how remocal testing fixes it.<br>Mar 12, 2026 · 6 min read<br>Read article →
GuideRun your first AI agent against a live Kubernetes cluster<br>Hands-on walkthrough: connect your agent to a real cluster with mirrord in minutes.<br>Docs · 5 min read<br>Read guide →
FAQGot a question?
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.<br>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.<br>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...