ralph-workflow

Autonomous backlog processing automates selecting tasks, updating progress, and applying changes to PRDs. The Ralph workflow drives this end-to-end execution for Brain Dump projects, advancing multiple tickets with minimal human intervention.

Agile iteration-based workflows with PRD-driven task execution are fully supported. The workflow processes one task per iteration, synchronizes PRD updates, and logs progress for safe, auditable reviews.

Synchronizing git operations with product requirement documents is handled autonomously by the workflow. It adds commits, updates task statuses, and applies changes to PRDs to maintain auditable progress logs.

Autonomous task execution does not require manual progress updates. The workflow self-selects tasks from the backlog, implements them, and automatically generates status updates and progress logs for review.

An autonomous workflow for backlog management is needed when multiple tickets must be advanced with minimal human intervention. It enables teams to move faster by reducing manual toil in end-to-end task execution.

Autonomous backlog processing operates with clearly defined steps and one-task-per-iteration constraints. It requires a self-contained Brain Dump project environment to safely execute git operations and PRD updates without unreviewed changes.