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I Used Ralph to Build a Full Feature - Here's How It Works

Code with Beto via YouTube

Overview

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Learn how to implement Ralph, a long-running AI agent loop system, to automatically build complete software features through this comprehensive tutorial. Discover the core concepts behind agent loops and how major companies are leveraging long-running autonomous coding agents for development workflows. Explore the origin story of Ralph through Geoffrey Huntley's work and understand Anthropic's JSON feature list approach for structuring development tasks. Master the essential requirements including bash loop implementation and proper feature list organization. Follow along with a practical demonstration building a prompt history feature for a React Native Expo AI tattoo application using Claude AI. Break down complex features into manageable tasks and understand why proper task decomposition is crucial for agent success. Examine the ralph.sh bash script in detail, learning how each component contributes to the autonomous development process. Watch the complete agent loop in action as it processes tasks, writes code, and iterates through the development cycle automatically.

Syllabus

Intro - What is Ralph?
How Ralph Works Agent Loop Explained
Companies Using Long-Running Agents
Geoffrey Huntley & Ralph Origin Story
Anthropic's JSON Feature List Approach
Requirements: Bash Loop + Feature List
Demo Project: AI Tattoo App Feature
Breaking Down the Feature List
Why Task Breakdown Matters
The ralph.sh Script Explained
Running the Ralph Script
Agent Loop in Action

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Code with Beto

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