# ClaytonFarr/ralph-playbook

A comprehensive guide to running autonomous AI coding loops using Geoff Huntley's Ralph methodology. View as formatted guide below 👇

Repository: https://github.com/ClaytonFarr/ralph-playbook
Canonical: https://ross.abutalabs.com/products/ralph-playbook
Homepage: https://claytonfarr.github.io/ralph-playbook/
Language: HTML
License: MIT
License Family: permissive
Last push: 2026-03-06T21:56:54+00:00

## Health v2 (maintenance only)
Score: 47/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 70, release rhythm 35, longevity 16
- inputs: {"age_days": 236, "days_push": 180, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1025, forks 266 (observed 2026-08-28T04:03:16.657784+00:00)

## What it is
A comprehensive HTML-based guide/playbook explaining how to run autonomous AI coding loops using Geoff Huntley's Ralph methodology. It organizes the workflow, key principles, and loop mechanics (file-based state, PROMPT.md, AGENTS.md, implementation plans) for putting the technique into practice.

## Use cases
- learn how to run autonomous AI coding loops
- set up the Ralph methodology with Claude
- structure prompts and specs for AI coding agents
- understand file-based state for AI agent loops
- find best practices for continuous AI coding iterations
- guide my team through agentic coding workflows

## When to choose
- you want a curated, detailed explanation of the Ralph autonomous coding technique
- you're adopting agentic coding loops and need workflow structure and file conventions
- you want guidance sourced directly from the methodology's originator

## When to avoid
- you need runnable software or tooling rather than documentation
- you're looking for a general AI agent framework or library
- you prefer interactive tutorials over a written guide

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools, agent-framework, workflow-automation, documentation
- domain: artificial-intelligence, developer-tools, tutorials
- platform: cross-platform, cli
- tags: ralph-methodology, autonomous-coding, ai-coding-loops, claude, playbook, guide, prompt-engineering, ai-agents, automation

## Member repositories
- ClaytonFarr/ralph-playbook (main) score 47

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:16.657784+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:08:01.519694+00:00, confidence not recorded.
  - readme: https://github.com/ClaytonFarr/ralph-playbook (fetched 2026-08-28T04:03:16.657784+00:00, sha 3db0a051c527)
  - homepage: https://claytonfarr.github.io/ralph-playbook/ (fetched 2026-08-29T13:08:13.200362+00:00, sha b43790c973e8)
- Data as of 2026-08-30T08:39:29.467469+00:00.