Ralph Loop Iteration Guide FAQs

Question 1

How does this skill integrate with SpecWeave?

Accepted Answer

This skill provides the logic and templates that SpecWeave's /sw:auto command uses to manage task lists, quality gates, and phase boundaries during autonomous sessions.

Question 2

What is a Ralph Loop in AI development?

Accepted Answer

A Ralph Loop is an iterative methodology where the AI performs tasks through self-referential feedback. It uses a persistent file state and automated signals (like test results) to refine code autonomously until a specific completion criteria is met.

Question 3

Can the Ralph Loop be used for frontend UI tasks?

Accepted Answer

It is most effective for backend logic, APIs, and refactoring where automated tests provide clear feedback. UI development is more challenging as it often requires subjective visual verification that is harder to automate.

Question 4

Why are completion signals important for autonomous AI?

Accepted Answer

Completion signals like 'RALPH_COMPLETE' provide an objective stopping point. Without them, an autonomous AI might continue iterating unnecessarily or fail to recognize when a task is successfully finished.

Question 5

How does the skill prevent the AI from getting stuck in a loop?

Accepted Answer

The guide mandates safety limits, such as a maximum number of iterations per phase and specific instructions to stop and ask for human help if the same error persists for multiple cycles.

Ralph Loop Iteration Guide

Ralph Loop Iteration Guide

소개

주요 기능

사용 사례

소개

주요 기능

사용 사례