AI test generation looks free: one toggle, and coverage jumps forty points overnight. The bill arrives later, and it isn't denominated in money.
Why this matters
The hidden cost is trust debt. Generated tests that assert nothing meaningful inflate the coverage number while verifying little. Tests generated from buggy code lock the bugs in place, so the eventual fix reads as a regression. Flaky tests pile up until the team learns to ignore red, and a twenty-minute CI run teaches everyone to skip the suite exactly when deadlines bite. Six months in, you own a very green dashboard that nobody on the team actually believes.
The common mistake
The most expensive test suite isn't the one with gaps. It's the one nobody believes, because a distrusted suite costs you the tests and the trust.
How we approach it
The cost-control is human and cheap relative to the bill: generated assertions get reviewed against the spec, not the code, regression suites go first because there current behavior genuinely is the spec, coverage gates in CI keep the bar honest, and flaky tests get deleted the week they flake instead of muted and forgotten.
A checklist you can use
The toggle looks free; the bill is trust debt
Generated tests can assert nothing and inflate coverage
Tests written from buggy code lock the bugs in place
Flaky tests train the team to ignore red
The fix costs hours up front; the debt costs incidents later
When to bring in help
Run a one-hour audit this week: pull twenty random generated tests and check their assertions against the spec. The hit rate tells you exactly how much of your green is real. If the honest answer is that nobody on the team owns this end to end, that's the moment to borrow the depth rather than improvise it.
Takeaway
Paid up front, the review cost is hours. Paid later, the trust debt is incidents, rework, and a suite the team quietly routes around.
Building this? Devxhub → devxhub.com
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