ralph-loop▌
andrelandgraf/fullstackrecipes · updated Apr 8, 2026
Automated agent-driven development loop that executes AI agents against user story acceptance criteria.
- ›Structures features as JSON-formatted user stories with testable acceptance criteria that agents can verify and track
- ›Runs AI agents in a continuous loop to implement features, check acceptance criteria, and log progress for subsequent agent iterations
- ›Requires prerequisite setup of AI coding agent configuration and user stories framework before running the Ralph agent loop
- ›Inte
Ralph Loop
Complete setup for automated agent-driven development. Define features as user stories with testable acceptance criteria, then run AI agents in a loop until all stories pass.
Prerequisites
Complete these recipes first (in order):
AI Coding Agent Configuration
Configure AI coding agents like Cursor, GitHub Copilot, or Claude Code with project-specific patterns, coding guidelines, and MCP servers for consistent AI-assisted development.
curl -H "Accept: text/markdown" https://fullstackrecipes.com/api/recipes/agent-setup
Cookbook - Complete These Recipes in Order
User Stories Setup
Create a structured format for documenting feature requirements as user stories. JSON files with testable acceptance criteria that AI agents can verify and track.
curl -H "Accept: text/markdown" https://fullstackrecipes.com/api/recipes/user-stories-setup
Working with User Stories
Document and track feature implementation with user stories. Workflow for authoring stories, building features, and marking acceptance criteria as passing.
curl -H "Accept: text/markdown" https://fullstackrecipes.com/api/recipes/using-user-stories
Ralph Agent Loop
Set up automated agent-driven development with Ralph. Run AI agents in a loop to implement features from user stories, verify acceptance criteria, and log progress for the next agent.
curl -H "Accept: text/markdown" https://fullstackrecipes.com/api/recipes/ralph-setup