Our incident-response agent got the root cause wrong 7 times out of 12. It still never made a bad rollback.
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We ran Agent K against 12 seeded production incidents. It named the correct root cause 5 times out of 12 — 3 out of 9 if you discard the runs we couldn't cleanly attribute. Over the same 12 runs it produced the correct rollback / no-rollback verdict 10 times , published zero claims without a SigNoz link behind them, and executed zero actions outside its policy gate. That gap between "diagnosed correctly" and "behaved correctly" is the entire project. Context Agent K was our entry for Agents of…
1Key Takeaways
- We ran Agent K against 12 seeded production incidents.
- It named the correct root cause 5 times out of 12 — 3 out of 9 if you discard the runs we couldn't cleanly attribute.
- Over the same 12 runs it produced the correct rollback / no-rollback verdict 10 times , published zero claims without a SigNoz link behind them, and executed zero actions outside its policy gate.
- That gap between "diagnosed correctly" and "behaved correctly" is the entire project.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — AI reports that we ran Agent K against 12 seeded production incidents.
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