LLM-as-judge disagrees with itself between runs
Article summary
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The flap I had a faithfulness gate on merge: judge scores every case, the mean has to clear 0.80. One Tuesday it failed at 0.79. I re-ran the identical job, no code change, no prompt change, and it passed at 0.82. Ran it a third time: 0.80 exactly. Nothing in the repo had moved. The judge was disagreeing with itself. A gate that returns a different verdict on the same inputs is worse than no gate. People stop believing the red, they re-run until it goes green, and now the check is a slot…
1Key Takeaways
- The flap I had a faithfulness gate on merge: judge scores every case, the mean has to clear 0.80.
- I re-ran the identical job, no code change, no prompt change, and it passed at 0.82.
- The judge was disagreeing with itself.
- A gate that returns a different verdict on the same inputs is worse than no gate.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that the flap I had a faithfulness gate on merge: judge scores every case, the mean has to clear 0.80.
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