# Roadmap

Varbase follows an active development cycle with new releases published approximately **every 2 to 3 weeks**. This cadence ensures that bug fixes, security patches, and new features reach users quickly.

## Current Focus: Varbase 11.0.x

The primary development effort is focused on the **Varbase 11.0.x** release line. Key areas of ongoing and planned work include:

### AI Enhancements

* Expanding AI recipe capabilities for content generation, moderation, and workflow automation.
* Improving integration with large language model providers.
* Developing additional AI agent recipes for specialized tasks.

### Recipe Refinement

* Continuing to convert remaining components to the recipes architecture.
* Improving recipe composability and documentation.
* Aligning with upstream Drupal CMS recipe updates as they evolve.

### Performance and Stability

* Ongoing performance optimization across the recipe stack.
* Compatibility testing with the latest Drupal 11 core releases.
* Automated testing improvements for recipe validation.

### Community and Ecosystem

* Contributing Varbase improvements back to Drupal CMS recipes.
* Expanding documentation and developer resources.
* Strengthening integration with the broader Drupal ecosystem.

## Staying Up to Date

For the latest information on upcoming releases, planned features, and development priorities, visit the official Varbase project page on Drupal.org:

<https://www.drupal.org/project/varbase>

You can also track individual issues, feature requests, and release notes in the [Varbase issue queue](https://www.drupal.org/project/issues/varbase).


---

# Agent Instructions: 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:

```
GET https://docs.varbase.vardot.com/readme/roadmap.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.