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Launch your first AI-powered development workflow in minutes by connecting your Jira workspace and defining your automation rules.
Prerequisite: Ensure your repository is connected to a Revolte application. Learn how in the Get Started guide.
1

Initialize Workflow Automation

Navigate to your application integration settings. Under Jira Configuration, select Configure Workflow Automation to begin the setup process.
2

Access Automation Control

Go to the Automation Configurations tab. If no workflows are active, you will see the initialization screen. Click Configure Automation.
3

Map Status Transitions

Define how Revolte should interact with your Jira statuses.
  • Action: Select Developer workflow.
  • Mapping: Choose which statuses trigger development (e.g., To Do to In Progress) and completion (e.g., Done).
  • Target Branch: Specify the branch where AI changes should be proposed (e.g., qa or main).
4

Confirm Workflow Creation

Once saved, your new workflow will appear in the active configurations list, showing the branch mapping and status flow.
5

Select Target Application

To trigger the workflow for a specific task, open the ticket in Jira and locate the Revolte section in the right sidebar. Under Select Application, select your target application service from the dropdown menu.
See the Jira Integration Guide for detailed integration steps.
6

Trigger and Monitor Workflow

Selecting the application instantly triggers the AI agent workflow. The sidebar updates to display a Workflow Triggered success status. Click the View Workflow Details button to jump directly into the live agent execution dashboard.
7

Monitor Live Progress

Switch back to the Revolte dashboard under Agent runs to see the real-time status of your workflow.
8

Review Execution Summary

Once complete, drill down into the run to see the execution stages, including Sandbox Provisioning, Code Setup, and Token Usage statistics.
9

Inspect Implementation Plan

Navigate to the Artifacts tab to review the AI-generated implementation plan, including sub-tasks and proposed file changes.
10

Analyze Code Diffs

Finally, use the Diff Summary tab to inspect every line of code modified or created by the agent before finalizing the delivery.
11

Review and Merge

Once the agent finishes, it automatically opens a Pull Request on GitHub (or your configured Git provider) so you can review and merge the proposed changes.
12

Deploy to Preview

After merging, you can deploy the changes to a preview environment. Click View Preview and confirm the deployment using your revolte.yml configuration.

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Next steps