Engineers argue that modern LLMs possess sufficient reasoning capabilities for root cause analysis, provided they receive correctly prepared context. This perspective moves the primary engineering challenge from model selection to the construction of telemetry correlation pipelines. A Coroot experiment evaluating eleven different models provides early evidence supporting this shift in focus.
- LLMs are now capable of RCA reasoning if context is properly engineered.
- The bottleneck has shifted to telemetry correlation and pipeline quality.
- Coroot tested eleven models to validate the context-over-model hypothesis.
- Invest in context preparation rather than chasing larger models.
- Focus engineering resources on data ingestion and structuring.
