Context Engineering Beats Model Reasoning in AI‑Driven RCA
Observability teams now see LLM reasoning as solved; the real bottleneck is curating the right telemetry for the model. Building pipelines that fetch, filter, and stitch logs, metrics, and traces yields more accurate root‑cause suggestions than bigger models. Investing in context engineering cuts incident MTTR.