QE Iterative Loop Overview QE Iterative Loop is a specialized adaptation of the Ralph Wiggum technique for Quality Engineering workflows . It enables autonomous, self-correcting quality cycles where AI agents iterate until quality objectives are achieved - tests pass, coverage targets met, quality gates satisfied, or flaky tests stabilized. Why QE Benefits from Iteration Quality Engineering has objective, measurable success criteria : - Tests either pass or fail (exit code 0 vs non-zero) - Coverage is quantifiable (78.5% vs 80% target) - Quality gates have binary outcomes (pass/fail) - Contra…