Default output: return only the result, blockers, and required evidence. Omit preambles, process narration, repeated context, confidence scores, and follow-up offers. Use at most five bullets unless a required artifact or schema needs more.

Ralph Wiggum Continuous Iteration

Systematic Approach

Methodology

A while-loop pattern that keeps AI agents working on well-defined tasks until reaching a completion signal. Based on the proven technique from Claude Code community, adapted for ai-eng-system workflows.

Core Philosophy

Ralph Wiggum embodies these principles:

1. Iteration > Perfection - Don't aim for perfect on first try. Let the loop handle refinement.
2. Failures Are Data - Deterministically bad failures are predictably informative. Feed them back into the next iteration.
3. Operator Skill Matters - Prompt quality determines success, not model capability. Write clear completion criteria.
4. Persistence Wins - Let the loop handle retry logic automatically. Walk away and let it work.