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Benchmark measuring whether an LLM actually reads cluster evidence before diagnosing a Kubernetes incident, or just guesses confidently. Chaos injection, evidence ablation, cross-model scoring.
When a test fails, an agent reads the failure, writes a fix and opens a pull request inside the same Jenkins run that caught it.