Maia's integration with Jira allows teams to bring ideas generated by Maia Plan directly into the team's backlog, reducing the need to switch between tools and accelerating the start of delivery. With this integration, epics and user stories created by Maia are imported into Jira already grouped by epic, ready for prioritization and sprint planning.
This integration between Maia and Jira is configured during the “Start Development” step: simply select Jira as your planning tool and enter the environment parameters (URL, project key, board ID, account, and API token) once. From there, the complete scope generated by Maia is pushed to the project’s backlog in Jira, and the stories selected for a sprint become available in Studio Pro, where Maia Make can proceed with implementation.
Maia Integrated with Jira: How It Works in Practice
By choosing Jira as the planning tool for the “Start Development” workflow, Maia Plan sends the planning artifacts—epics and user stories—directly to the specified project’s backlog. The goal is to eliminate the need to switch to the Mendix Board when the team already uses Jira to plan, refine, and execute sprints.
The process involves a one-time initial setup of the connection to Jira (environment, project, board, and credentials). After that, the content generated by Maia appears in the Jira backlog grouped by epic, allowing the team to prioritize and pull stories into the sprint according to their usual workflow. When a story enters an active sprint, it becomes available in Studio Pro so that Maia Make can begin implementation based on the defined scope.
Configuration, workflows, and items exchanged between Maia and Jira
The integration requires certain connection parameters and sends a clear set of items to Jira. Below is a table listing the elements mentioned in the Mendix .12 documentation and what each one represents in the integration flow.
| Element | What is | Role in integration |
|---|---|---|
| Environment URL | Jira environment address | The location where Maia sends the generated backlog |
| Project key | Project ID in Jira | Specifies the project in which the stories will be created |
| Board ID | Board used for backlog management | Specifies the backlog and the board where the items appear |
| Account | Account used for authentication | Credential associated with creation operations in Jira |
| API token | Access token for authentication | Allows Maia to write epics and stories in the backlog |
| Scope submitted | Epics and user stories generated by Maia Plan | Content grouped by epic and ready for prioritization |
With these elements set up, teams already working in Jira can maintain their planning workflow and gain a direct link between scope definition (Maia Plan) and execution (Maia Make + Studio Pro).
Impacts on Productivity and Best Practices for Use
Integrating Maia with Jira aims to reduce friction in the planning process and accelerate the transition from scope to implementation. To effectively leverage the integration, consider practices that promote traceability and continuous delivery, while maintaining the team’s workflow in Jira and taking advantage of Maia’s capabilities for generating and detailing requirements.
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In addition to its integration with Jira, Maia Make offers features that complement the planning-to-execution cycle and help maintain quality and speed during implementation in Studio Pro.
- Allow modules to publish their own skills, making it easier to reuse prompts and patterns across applications.
- Paste images directly into the Maia Make chat to provide quick visual context without any extra steps.
- Use planning mode, which causes Maia to ask clarifying questions before generating output when the prompt is ambiguous.
- Add Markdown documents as context for conversations, expanding the types of documentation that Maia can use.
- Configure custom model backends (Bring-your-own-LLM) to control costs, data residency, and model selection without losing integration with Maia.
- Purchase Maia Units with Cloud Tokens to extend your usage when needed.
- Ask Maia to retrieve and install Marketplace modules directly into the project, reducing disruptions to the workflow.
These features make Maia Make a natural complement to the work started in Jira: while Maia Plan generates the backlog in Jira, Maia Make can work in Studio Pro with the prioritized items, using module skills, documents, and multimedia resources to produce more complete and verified deliverables.
Recommended workflow between Jira, Maia Plan, and Maia Make
A simple workflow aligned with the capabilities described in Mendix .12 involves clear steps that maintain the team’s rhythm and allow Maia to take on different roles throughout the cycle:
- Choose Jira as the planning tool for the "Start Development" phase.
- Configure the Jira parameters once (Environment URL, project key, board ID, account, and API token).
- Generate scope with Maia Plan; Maia pushes epics and stories to the Jira backlog, grouped by epic.
- Prioritize and pull stories into an active sprint in Jira based on the team's workflow.
- In Studio Pro, use Maia Make to implement the selected stories, taking advantage of skills, document support, and automated testing.
This workflow keeps the team working in Jira while the Mendix platform Mendix scope definition, integration with the development environment, and support for automated, knowledge-driven project implementation.
Maia’s integration with Jira reduces friction between planning and execution by keeping the backlog centralized where the team already works, while preserving Maia Make’s ability to work within Studio Pro with prioritized items. The integration requires an initial setup of Jira credentials and parameters, but once established, it creates a direct path from concept to delivery, with additional support for skills, documents, and consumption units to scale usage as needed.
