ralph-yolo

Autonomous PRD execution converts markdown PRDs into structured JSON and orchestrates AI sub-agents to implement user stories sequentially. This eliminates manual intervention by automating task breakdown, Git branching, and progress logging end-to-end.

AI agent workflow automation handles Git branching by managing schema changes and feature implementation directly. It processes user stories in a defined priority order, ensuring a logical development flow while logging progress for autonomous feature development.

You can execute markdown PRDs autonomously without external CLI tools like Amp. The system directly orchestrates AI sub-agents to process tasks, handling the entire development lifecycle from task breakdown to Git management.

During autonomous feature development, failed tasks trigger built-in error recovery and user interaction mechanisms. The system handles errors by pausing execution to request user input, ensuring failed tasks do not halt the entire workflow.

You need a detailed markdown PRD file to run autonomous development loops. The system parses the markdown to directly convert product requirements into executable JSON tasks for sequential AI sub-agent processing.

Converting PRDs into structured JSON standardizes user stories for sequential AI sub-agent execution. This mechanism ensures logical development flow, enables task prioritization, and allows autonomous management of Git workflows from schema to UI.