Much of our code is written with AI. That raises the bar for evidence, it does not lower it. Every release candidate passes through the same path before we claim anything about it.
Every change starts as a failing test that describes the behaviour. A fix is done only when that test turns green and nothing else turns red.
Each release candidate is reviewed by AI models from two different families. Merge rule: a fresh review must find no high-severity issue.
Every finding is reproduced by a failing test before the code changes, so it cannot quietly come back.
People who did not write the code re-run the evidence on independent hardware. Results must match.
A cryptography certifier rules on the boundary and signs the record, never for work they built.
Each candidate is tagged and signed, so what was reviewed is exactly what ships.
A test that cannot fail is worse than no test: it reports safety that is not there. So we break our own code on purpose. Mutation testing changes a comparison, removes a check or flips a result, and the suite must catch every change. A mutant that survives is a defect in the tests.
We also look for the status that cannot report failure, and the control whose removal changes nothing. Both have caught real defects in our own work.
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