AI coding agents produce microservice systems where only 4.95–13.99% of injected faults generate explicit fault signals in logs, revealing a semantic observability gap that lightweight guidance only partially addresses.
Mining invariants from console logs for system problem detection
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Can Large Language Models Generate Observability-Aware Code?
AI coding agents produce microservice systems where only 4.95–13.99% of injected faults generate explicit fault signals in logs, revealing a semantic observability gap that lightweight guidance only partially addresses.