TLDR Tech / DevOps
I am dreading our LLM-written incident report future
LLMs can reduce the toil of gathering incident data, but using them to write the actual incident report bypasses the human synthesis that forces teams to test whether their explanation matches the evidence. The danger is that AI-written reports may look plausible while inventing or missing key system interactions, reducing organizational learning because there is no immediate correctness check like there is with code or live incident response.
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