Ralph Mode - Autonomous Development Loops

Ralph Mode implements the Ralph Wiggum technique adapted for OpenClaw: autonomous task completion through continuous iteration with backpressure gates, completion criteria, and structured planning.

When to Use

Use Ralph Mode when:

Building features that require multiple iterations and refinement
Working on complex projects with acceptance criteria to validate
Need automated testing, linting, or typecheck gates
Want to track progress across many iterations systematically
Prefer autonomous loops over manual turn-by-turn guidance

Core Principles

Three-Phase Workflow

Phase 1: Requirements Definition

Document specs in
```
specs/
```
(one file per topic of concern)
Define acceptance criteria (observable, verifiable outcomes)
Create implementation plan with prioritized tasks

Phase 2: Planning

Gap analysis: compare specs against existing code
Generate
```
IMPLEMENTATION_PLAN.md
```
with prioritized tasks
No implementation during this phase

Phase 3: Building (Iterative)

Pick one task from plan per iteration
Implement, validate, update plan, commit
Continue until all tasks complete or criteria met

Backpressure Gates

Reject incomplete work automatically through validation:

Programmatic Gates (Always use these):

Tests:
```
[test command]
```
- Must pass before committing
Typecheck:
```
[typecheck command]
```
- Catch type errors early
Lint:
```
[lint command]
```
- Enforce code quality
Build:
```
[build command]
```
- Verify integration

Subjective Gates (Use for UX, design, quality):

LLM-as-judge reviews for tone, aesthetics, usability
Binary pass/fail - converges through iteration
Only add after programmatic gates work reliably

Context Efficiency

One task per iteration = fresh context each time
Spawn sub-agents for exploration, not main context
Lean prompts = smart zone (~40-60% utilization)
Plans are disposable - regenerate cheap vs. salvage

File Structure

Create this structure for each Ralph Mode project:

project-root/
├── IMPLEMENTATION_PLAN.md     # Shared state, updated each iteration
├── AGENTS.md                  # Build/test/lint commands (~60 lines)
├── specs/                     # Requirements (one file per topic)
│   ├── topic-a.md
│   └── topic-b.md
├── src/                        # Application code
└── src/lib/                    # Shared utilities

IMPLEMENTATION_PLAN.md

Priority task list - single source of truth. Format:

# Implementation Plan
In Progress

 Task name (iteration N)

Notes: discoveries, bugs, blockers



Completed

 Task name (iteration N)

Backlog

 Future task

Topic Scope Test

Can you describe the topic in one sentence without "and"?

✅ "User authentication with JWT and session management"
❌ "Auth, profiles, and billing" → 3 topics

AGENTS.md - Operational Guide

Succinct guide for running the project. Keep under 60 lines:

# Project Operations
Build Commands
npm run dev      # Development server
npm run build     # Production build
Validation
npm run test      # All tests
npm run lint      # ESLint
npm run typecheck  # TypeScript
npm run e2e       # E2E tests
Operational Notes

Tests must pass before committing
Typecheck failures block commits
Use existing utilities from src/lib over ad-hoc copies

Hats (Personas)

Specialized roles for different tasks:

Hat: Architect (

@architect

)

High-level design, data modeling, API contracts
Focus: patterns, scalability, maintainability

Hat: Implementer (

@implementer

)

Write code, implement features, fix bugs
Focus: correctness, performance, test coverage

Hat: Tester (

@tester

)

Test authoring, validation, edge cases
Focus: coverage, reliability, reproducibility

Hat: Reviewer (

@reviewer

)

Code reviews, PR feedback, quality assessment
Focus: style, readability, adherence to specs

Usage:

"Spawn a sub-agent with @architect hat to design the data model"

Loop Mechanics

Outer Loop (You coordinate)

Your job as main agent: engineer setup, observe, course-correct.

Don't allocate work to main context - Spawn sub-agents
Let Ralph Ralph - LLM will self-identify, self-correct
Use protection - Sandbox is your security boundary
Plan is disposable - Regenerate when wrong/stale
Move outside the loop - Sit and watch, don't micromanage

Inner Loop (Sub-agent executes)

Each sub-agent iteration:

Study - Read plan, specs, relevant code
Select - Pick most important uncompleted task
Implement - Write code, one task only
Validate - Run tests, lint, typecheck (backpressure)
Update - Mark task done, note discoveries, commit
Exit - Next iteration starts fresh

Stopping Conditions

Loop ends when:

✅ All IMPLEMENTATION_PLAN.md tasks completed
✅ All acceptance criteria met
✅ Tests passing, no blocking issues
⚠️ Max iterations reached (configure limit)
🛑 Manual stop (Ctrl+C)

Completion Criteria

Define success upfront - avoid "seems done" ambiguity.

Programmatic (Measurable)

All tests pass:
```
[test_command]
```
returns 0
Typecheck passes: No TypeScript errors
Build succeeds: Production bundle created
Coverage threshold: e.g., 80%+

Subjective (LLM-as-Judge)

For quality criteria that resist automation:

## Completion Check - UX Quality
Criteria: Navigation is intuitive, primary actions are discoverable
Test: User can complete core flow without confusion
Completion Check - Design Quality

Criteria: Visual hierarchy is clear, brand consistency maintained
Test: Layout follows established patterns

Run LLM-as-judge sub-agent for binary pass/fail.

Technology-Specific Patterns

Next.js Full Stack

specs/
├── authentication.md
├── database.md
└── api-routes.md
src/
├── app/                    # App Router
├── components/              # React components
├── lib/                    # Utilities (db, auth, helpers)
└── types/                   # TypeScript types

AGENTS.md:
Build: npm run dev
Test: npm run test
Typecheck: npx tsc --noEmit
Lint: npm run lint

Python (Scripts/Notebooks/FastAPI)

specs/
├── data-pipeline.md
├── model-training.md
└── api-endpoints.md
src/
├── pipeline.py
├── models/
├── api/
└── tests/

AGENTS.md:
Build: python -m src.main
Test: pytest
Typecheck: mypy src/
Lint: ruff check src/

GPU Workloads

specs/
├── model-architecture.md
├── training-data.md
└── inference-pipeline.md
src/
├── models/
├── training/
├── inference/
└── utils/

AGENTS.md:
Train: python train.py
Test: pytest tests/
Lint: ruff check src/
GPU Check: nvidia-smi

Quick Start Command

Start a Ralph Mode session:

"Start Ralph Mode for my project at ~/projects/my-app. I want to implement user authentication with JWT.

I will:

Create IMPLEMENTATION_PLAN.md with prioritized tasks
Spawn sub-agents for iterative implementation
Apply backpressure gates (test, lint, typecheck)
Track progress and announce completion

Operational Learnings

When Ralph patterns emerge, update AGENTS.md:

## Discovered Patterns

When adding API routes, also add to OpenAPI spec
Use existing db utilities from src/lib/db over direct calls
Test files must be co-located with implementation

Escape Hatches

When trajectory goes wrong:

Ctrl+C - Stop loop immediately
Regenerate plan - "Discard IMPLEMENTATION_PLAN.md and re-plan"
Reset - "Git reset to last known good state"
Scope down - Create smaller scoped plan for specific work

Advanced: LLM-as-Judge Fixture

For subjective criteria (tone, aesthetics, UX):

Create

src/lib/llm-review.ts

interface ReviewResult {
  pass: boolean;
  feedback?: string;
}
async function createReview(config: {
criteria: string;
artifact: string; // text or screenshot path
}): Promise<ReviewResult>;

Sub-agents discover and use this pattern for binary pass/fail checks.

Critical Operational Requirements

Based on empirical usage, enforce these practices to avoid silent failures:

1. Mandatory Progress Logging

Ralph MUST write to PROGRESS.md after EVERY iteration. This is non-negotiable.

Create

PROGRESS.md

in project root at start:

# Ralph: [Task Name]
Iteration [N] - [Timestamp]
Status

 In Progress | [ ] Blocked | [ ] Complete

What Was Done

[Item 1]
[Item 2]

Blockers

None | [Description]

Next Step
[Specific next task from IMPLEMENTATION_PLAN.md]
Files Changed

path/to/file.ts - [brief description]

Why: External observers (parent agents, crons, humans) can tail one file instead of scanning directories or inferring state from session logs.

2. Session Isolation & Cleanup

Before spawning a new Ralph session:

Check for existing Ralph sub-agents via
```
sessions_list
```
Kill or verify completion of previous sessions
Do NOT spawn overlapping Ralph sessions on same codebase

Anti-pattern: Spawning Ralph v2 while v1 is still running = file conflicts, race conditions, lost work.

3. Explicit Path Verification

Never assume directory structure. At start of each iteration:

// Verify current working directory
const cwd = process.cwd();
console.log(`Working in: ${cwd}`);
// Verify expected paths exist
if (!fs.existsSync('./src/app')) {
console.error('Expected ./src/app, found:', fs.readdirSync('.'));
// Adapt or fail explicitly
}

Why: Ralph may be spawned from different contexts with different working directories.

4. Completion Signal Protocol

When done, Ralph MUST:

Write final
```
PROGRESS.md
```
with "## Status: COMPLETE"
List all created/modified files
Exit cleanly (no hanging processes)

Example completion PROGRESS.md:

# Ralph: Influencer Detail Page
Status: COMPLETE ✅
Finished: [ISO timestamp]
Final Verification

 TypeScript: Pass
 Tests: Pass
 Build: Pass

Files Created

src/app/feature/page.tsx
src/app/api/feature/route.ts

Testing Instructions

Run: npm run dev
Visit: http://localhost:3000/feature
Verify: [specific checks]

5. Error Handling Requirements

If Ralph encounters unrecoverable errors:

Log to PROGRESS.md with "## Status: BLOCKED"
Describe blocker in detail
List attempted solutions
Exit cleanly (don't hang)

Do not silently fail. A Ralph that stops iterating with no progress log is indistinguishable from one still working.

6. Iteration Time Limits

Set explicit iteration timeouts:

## Operational Parameters
- Max iteration time: 10 minutes
- Total session timeout: 60 minutes
- If iteration exceeds limit: Log blocker, exit

Why: Prevents infinite loops on stuck tasks, allows parent agent to intervene.

Memory Updates

After each Ralph Mode session, document:

## [Date] Ralph Mode Session
Project: [project-name]
Duration: [iterations]
Outcome: success / partial / blocked
Learnings:

What worked well
What needs adjustment
Patterns to add to AGENTS.md

Appendix: Hall of Failures

Common anti-patterns observed:

Anti-Pattern	Consequence	Prevention
No progress logging	Parent agent cannot determine status	Mandatory PROGRESS.md
Silent failure	Work lost, time wasted	Explicit error logging
Overlapping sessions	File conflicts, corrupt state	Check/cleanup before spawn
Path assumptions	Wrong directory, wrong files	Explicit verification
No completion signal	Parent waits indefinitely	Clear COMPLETE status
Infinite iteration	Resource waste, no progress	Time limits + blockers
Complex initial prompts	Sub-agent never starts (empty session logs)	SIMPLIFY instructions

NEW: Session Initialization Best Practices (2025-02-07)

Problem: Sub-agents spawn but don't execute

Evidence: Empty session logs (2 bytes), no tool calls, 0 tokens used

Root Causes

Instructions too complex - Overwhelms isolated session initialization
No clear execution trigger - Agent doesn't know to start
Branching logic - "If X do Y, if Z do W" confuses task selection
Multiple files mentioned - Can't decide which to start with

Fix: SIMPLIFIED Ralph Task Template

## Task: [ONE specific thing]
File: exact/path/to/file.ts
What: Exact description of change
Validate: Exact command to run
Then: Update PROGRESS.md and exit
Rules

Do NOT look at other files
Do NOT "check first"
Make the change, validate, exit

BEFORE (Bad - causes stalls):

Fix all TypeScript errors across these files:
- lib/db.ts has 2 errors
- lib/proposal-service.ts has 5 errors
- route.ts has errors
Check which ones to fix first, then...

AFTER (Good - executes):

Fix lib/db.ts line 27:
Change: PoolClient to pg.PoolClient
Validate: npm run typecheck
Exit immediately after

CRITICAL: Single File Rule

Each Ralph iteration gets ONE file. Not "all errors", not "check then decide". ONE file, ONE change, validate, exit.

CRITICAL: Update PROGRESS.md

MANDATORY: After EVERY iteration, update PROGRESS.md with:

## Iteration [N] - [Timestamp]
Status: Complete ✅ | Blocked ⛔ | Failed ❌
What Was Done

[Specific changes made]

Validation

[Test/lint/typecheck results]

Next Step

[What should happen next]

Why this matters: Cron job reads PROGRESS.md for status updates. If not updated, status appears stale/repetitive.

Debugging Ralph Stalls

If Ralph stalls:

Check session logs (should show tool calls within 60s)
If empty after spawn → instructions too complex
Reduce: ONE file, ONE line number, ONE change
Shorter timeout forces smaller tasks (300s not 600s)

Fixing Stale Status Reports

If cron reports same status repeatedly:

Check PROGRESS.md was updated by sub-agent
If not updated → sub-agent skipped documentation step
Update skill: Add "MANDATORY PROGRESS.md update" to prompt
Manual fix: Update PROGRESS.md to reflect actual state

Summary

Ralph works when: Single file focus + explicit change + validate + exit Ralph stalls when: Complex decisions + multiple files + conditional logic

Ralph Mode - Autonomous Development Loops

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