What is the Ralph Methodology for Claude Code?

It is a technical framework that enables autonomous iteration loops, allowing Claude to work through complex, multi-step tasks over several sessions until a specific goal is achieved.

Where is the loop progress and state stored?

The loop state, including the current iteration count and the original prompt, is stored locally in the `.claude/ralph-loop.local.yml` file.

Can I use interactive terminal commands within a Ralph loop?

No, the methodology requires non-interactive commands (avoiding -i flags or prompts) to ensure the autonomous loop can proceed without human intervention.

How does Claude know when to stop the autonomous loop?

The loop terminates when the AI outputs a specific completion promise phrase defined at the start of the process, or when it reaches the user-defined maximum iteration count.

Is it safe to run autonomous loops on my codebase?

Yes, provided safety rules are followed, such as ensuring operations are idempotent and commands are non-interactive. Users can also manually cancel the loop at any time.

Ralph Methodology Loop

Name: Ralph Methodology Loop
Author: majesticlabs-dev

bymajesticlabs-dev

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생산성 및 워크플로

Automates repetitive coding iterations through an autonomous loop system with safety-guarded completion signals.

소개

The Ralph Methodology skill enables Claude to perform autonomous, multi-step coding tasks by establishing a persistent iteration loop. It works by intercepting session exits and re-triggering the AI until a specific completion promise is met or a maximum iteration limit is reached. Designed for complex refactoring or long-running development tasks, it includes safety protocols such as idempotency requirements and non-interactive command enforcement, while maintaining state via a local YAML configuration file to ensure progress is tracked accurately across iterations.

주요 기능

Customizable completion promises to signal task finality
18 GitHub stars
State management via local YAML configuration
Hard-stop iteration limits to prevent infinite loops
Autonomous multi-iteration coding loops
Safety-first non-interactive command execution

사용 사례

Executing complex, multi-step codebase refactoring that requires multiple reasoning passes.
Running long-running diagnostic or migration scripts that need periodic AI intervention.
Automating repetitive development tasks that exceed the execution limits of a single session.

소개

주요 기능

Customizable completion promises to signal task finality
18 GitHub stars
State management via local YAML configuration
Hard-stop iteration limits to prevent infinite loops
Autonomous multi-iteration coding loops
Safety-first non-interactive command execution

사용 사례

Executing complex, multi-step codebase refactoring that requires multiple reasoning passes.
Running long-running diagnostic or migration scripts that need periodic AI intervention.
Automating repetitive development tasks that exceed the execution limits of a single session.