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博客园 - lightsong

openworker GAN Micro Frontends extending the microservice idea to frontend development What is Nx? Smart Monorepo Build System & CI Build and Query Knowledge Graphs with LLMs WizMap AI Code Review Claude Code Awesome Claude Agents - 26-agent AI Development Team (open source) WezTerm Herdr Zellij playwright-cli branch vs worktree Browserbase Skills The Complete Beginner's Guide to GSD (Get Shit Done) Framework for Claude Code A Claude Code Skills Stack: How to Combine Superpowers, gstack, and GSD Without the Chaos Casdoor Harness engineering for coding agent users The 8 Levels of Agentic Engineering assistant-ui vs copilotkit vs tambo Apache Casbin Agentic AI-Powered HR Automation Instant CV Intelligence for Modern Hiring Teams Python + LangGraph + FastAPI langfuse contextvars Agent Skills Temporal + LangGraph: A Two-Layer Architecture for Multi-Agent Coordination Building Generative AI Services with FastAPI DeepAgent vs LangGraph Plan-and-Execute AI-Native Software Delivery 动态表单EAV模型(Entity-Attribute-Value模型)和JSON字段 ClickHouse® is a real-time analytics database management system GRAPH RAG 数仓建模——维度表详细讲解 涌现能力 The 5W2H Problem-Solving Method 前端如何直接上传文件夹 docker状态混乱修复(如果出现容器stop不了问题,报Permission denied) Ducky - BPMN 工作流管理系统
Ralph Loop
lightsong · 2026-05-05 · via 博客园 - lightsong

Ralph Loop

https://github.com/snarktank/ralph

https://claude.com/plugins/ralph-loop

Ralph is an autonomous AI agent loop that runs repeatedly until all PRD items are complete.

Ralph is an autonomous AI agent loop that runs AI coding tools (Amp or Claude Code) repeatedly until all PRD items are complete. Each iteration is a fresh instance with clean context. Memory persists via git history, progress.txt, and prd.json.

Based on Geoffrey Huntley's Ralph pattern.

Read my in-depth article on how I use Ralph

image

image

Ralph Loop enables iterative, self-referential AI development loops where Claude works on the same task repeatedly until completion. The plugin intercepts session exits via a stop hook and automatically re-feeds your prompt while preserving all file modifications and git history between iterations. This creates autonomous improvement cycles where Claude can refine its work based on test failures and previous attempts.

The technique is ideal for well-defined projects with clear success criteria, greenfield development with automated verification, and any task amenable to iterative refinement. Claude reads its own past work to inform improvements, creating a powerful feedback loop for autonomous problem-solving.

How to use: Start an iterative session with /ralph-loop "your prompt here" --max-iterations 10 --completion-promise "DONE". The loop continues until Claude outputs the completion promise or reaches the iteration limit. Cancel anytime with /cancel-ralph. Write prompts with explicit completion criteria and success metrics for best results.

出处:http://www.cnblogs.com/lightsong/ 本文版权归作者和博客园共有,欢迎转载,但未经作者同意必须保留此段声明,且在文章页面明显位置给出原文连接。