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)
• Contract validation has clear schemas

This makes QE ideal for iterative loops - we know exactly when we're done.

Prerequisites