Testing in the Age of AI Agents: How I Kept QA from Collapsing

AI agents changed my development tempo overnight. I can ship more code in a day than I used to in a week, and that sounds great until the first time a tiny edge case takes down an entire flow. At that speed, QA becomes either a competitive advantage or a constant fire drill. I chose the first option, and I rebuilt my testing approach in d:\Coding\Company\Ochestrator around a small set of test design techniques that scale with code volume: TDD EP-BVA (Equivalence Partitioning + Boundary Value Analysis) Pairwise (Combinatorial Testing) State Transition Testing 1. Why I Needed “Test Design,” Not Just “More Tests” When code volume grows, the problem is not only “coverage.” The real problem is that the space of possible inputs and states grows faster than my time. So I stopped asking: “Did I write tests for this function?” And I started asking: “Did I select test cases that actually represent the failure surface?” That mindset is what pushed me toward structured test design techniques. 2. T