Tech
I built a QA agent that audits itself nightly. It has filed 79 findings against its own releases.
Most "AI QA agents" audit your repo from scratch every time and end with LGTM. I wanted the opposite: a tester with memory, a failure taxonomy, a verdict contract, and no ability to touch the code it judges.
So in Verdict the model only judges. A stdlib harness measures everything else β timestamps, SHAs, test counts, diff coverage, a signed run history β and a validator refuses any state that claims more than was measured.
What a run looks like
A state file carries the base...
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