This validates the ML approach since traditional fuzzers struggle with race conditions because they're non-deterministic. A model trained on code structure can flag suspicious patterns before they ever execute.
In isolated tests, the improvement was ~8×. Amdahl’s law suggests that, in the real system, we should see a substantially lower improvement. Instead, we saw the improvement grow to ~13×.
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When you read a traditional git log, you see what changed. With ghost, you see why — the actual human decision that triggered the change. A year from now, "refactor auth middleware to use dependency injection" tells you more than a diff ever will.