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AI Summary
- Ryan Carson breaks down 'Ralph Wiggum' agent: autonomous agent builds full product features by converting PRD into small user stories with tight acceptance criteria, then executing iteratively
- Workflow ships work in clean iterations rather than vibe-coding one giant prompt; agents.md and progress.txt provide memory layer for long-term notes and iteration-to-iteration context
- Ralph approach becomes repeatable and safer with testable, bite-sized tickets; actual token/cost tracking shows realistic spending for autonomous feature development