Engineers argue that modern LLMs are already capable of performing root cause analysis if provided with correctly prepared context, moving the complexity to telemetry correlation pipelines. A Coroot experiment involving eleven models provides early evidence supporting this shift in approach. The focus is now on how data is curated and fed to the models rather than the reasoning capabilities of the models themselves.
- LLMs can handle RCA tasks effectively when context is properly prepared.
- The engineering challenge has moved to building robust telemetry correlation pipelines.
- Coroot tested eleven models, providing evidence for the context-first approach.
- Focus shifts from model reasoning to data preparation and context engineering.