Core capabilities
Revolte provides a dual-layered approach to development automation:1. AI agent workflows
Transform Jira tickets into pull requests automatically. The AI agent analyzes your task context, generates an implementation plan, and executes code changes within a secure sandbox.- Auto-Implementation: Generate code based on Jira descriptions and labels.
- Artifact Generation: Review AI-generated implementation plans and diff summaries.
- Jira Integration: Trigger workflows directly from your task sidebar.
2. Git-based automation
Control the quality and speed of delivery using repository-level events and policy-driven gates.- Risk Scoring: Automatically score every PR based on file sensitivity and service criticality.
- Review Gates: Enforce approval requirements based on risk levels defined in your
revolte.yml. - Preview Deployments: Spin up isolated environments for every change to validate behavior.
How it works
The workflow typically follows these key stages:Trigger
A task is opened in Jira, and the developer selects the target application service from the Revolte sidebar dropdown. This instantly signals the AI agent to begin the delivery cycle.
Plan & Execute
The AI agent creates a sandbox environment, analyzes the codebase, and produces an
implementation plan. It then executes the changes and validates them against your existing
architecture.
Review & Gate
A Pull Request is opened. Revolte calculates a Risk Score and applies the necessary review
gates. Higher-risk changes (e.g., database migrations) require more strict approval policies.
Next steps
- Get Started — Follow the step-by-step guide to activate your first workflow.
- YAML Reference — Learn how to configure risk thresholds and service roots.