Nobody Needs an AI That Writes Tests. We Need One That Reads Failures.

Every AI-for-testing demo I have sat through follows the same script. Someone points a model at a requirements doc, it emits forty test cases, and the room nods. It's a good demo. It also solves a problem I've never actually had.

Writing tests was never the bottleneck. I've worked on suites where the tests wrote themselves out of habit, one per bug, one per ticket, until there were thousands of them running every night. The bottleneck showed up the next morning, when sixty of them were red and someone had to decide what that meant.

That decision is the job. And it's the part almost nobody is automating well.

The morning triage tax

Run the arithmetic on a mid-sized suite. Say two thousand tests, nightly, with a three percent failure rate. That's sixty red tests waiting when the team logs on. In my experience, four out of five of those...

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