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The Ralph Wiggum Technique is an automated workflow where an AI agent reads a task list, selects one incomplete task, implements it, runs tests and formatters, commits the changes, and updates the task file with progress. The pattern uses a shell script that loops through iterations, with safety mechanisms like maximum iteration limits and completion flags. The agent works on one task at a time to maintain focus and reduce scope creep, requiring pre-approved permissions for commands like Git, Composer, and testing tools. The workflow can run interactively for monitoring or non-interactively for autonomous operation.