Turning real postmortems into SRE benchmarks: UIUC team shares data curation lessons
tianyin_xu · x · 2026-09-28
A team from the UIUC++ SRSE program published a blog on how they curated high-quality SRE benchmark problems by converting real-world postmortem reports into reproducible problems on top of SREGym.
- Core challenge: the quality of AI-for-SRE benchmarks hinges on realism and the ability to challenge frontier AI.
- The team distilled lessons on tradeoffs between realism, reproducibility, cost, and utility.
- These insights will guide the upcoming SREGym 2.0.
A useful example of community-based data curation for anyone building agent evals.
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