> For the complete documentation index, see [llms.txt](https://metalbear.com/mirrord/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://metalbear.com/mirrord/docs/use-cases/using-mirrord-with-ai.md).

# Using mirrord with AI

AI coding models don’t have the full context of your application — external dependencies, environment variables, and the way services interact in production. The code they generate might look correct in isolation, but things often break once you try integrating it with the rest of your system.

If you're using tools like Claude Code, Cursor, or Codex, mirrord lets you safely test AI-generated code in a real, production-like Kubernetes environment in seconds, instead of relying on mocks or waiting for CI/CD to reveal integration issues.

Here are some ways you can connect mirrord to your AI coding workflow:

* [**Agent skills for mirrord**](/mirrord/docs/use-cases/using-mirrord-with-ai/ai-skills-plugin.md) - Install skills that give your AI assistant built-in mirrord expertise.
* [**Configure AI Agents to Use mirrord**](/mirrord/docs/use-cases/using-mirrord-with-ai/the-meta-prompt.md) - A prompt generator that creates project-specific `AGENTS.md` files and configurations automatically, saving hours of manual setup across multiple services.


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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://metalbear.com/mirrord/docs/use-cases/using-mirrord-with-ai.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.