> For the complete documentation index, see [llms.txt](https://docs.walnutai.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.walnutai.ai/core-features/intelligence-hub/generate-user-stories/code-repository-to-requirement.md).

# Code (Repository-to-Requirement)

**When to Use Code-Based Requirement Extraction:**\
Use this feature when your project requirements already exist in your code repository. Instead of manually rewriting them, the requirements are imported and organized into structured **Epics, Features, and User Stories**

* **Existing Connection:** If a repository was selected during project setup from [GitLab](/getting-started/projects/create-a-new-project/external-data-and-connections/how-to-integrate-gitlab-with-walnut.md), [GitHub](/getting-started/projects/create-a-new-project/external-data-and-connections/how-to-integrate-github-with-walnut.md), [Bitbucket](/getting-started/projects/create-a-new-project/external-data-and-connections/how-to-integrate-bitbucket-with-walnut.md), or Azure Repos, it will be available and visible under the Code option within the Intelligence Hub.
* **New Connection:** If no repo is found, click Add Repo. This redirects you to the Project Setup page to complete the link.
* **Extraction:** Once connected, the system automatically extracts Epics, Features, and User Stories from the repository.
* **Generation:** Select any user story to generate test cases.
* Click Save to store the generated Epics, Features, User Stories, and Test Cases.

{% hint style="info" %}
Result: Upon saving, items are stored in Action Items, and Test Cases populate the Test Cases page.
{% endhint %}


---

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