’ve spent way too many nights at 3 AM trying to piece together what happened during a P1 incident. The hardest part isn't usually fixing the bug—it's writing the post-mortem report for the leadership 2 hours later while you're exhausted.
Generic LLMs usually hallucinate or lose technical context when you dump 10k lines of logs into them. So I built ProdRescue AI.
It’s specifically designed to:
Sanitize PII automatically from logs.
Correlate multi-service logs and Slack threads into a single timeline.
Map every claim in the report back to a specific log line [evidence-backed].
Generate '5 Whys' and action items based on SRE best practices.
Comments
’ve spent way too many nights at 3 AM trying to piece together what happened during a P1 incident. The hardest part isn't usually fixing the bug—it's writing the post-mortem report for the leadership 2 hours later while you're exhausted.
Generic LLMs usually hallucinate or lose technical context when you dump 10k lines of logs into them. So I built ProdRescue AI.
It’s specifically designed to:
Sanitize PII automatically from logs.
Correlate multi-service logs and Slack threads into a single timeline.
Map every claim in the report back to a specific log line [evidence-backed].
Generate '5 Whys' and action items based on SRE best practices.