You're half asleep staring at 10,000 log lines trying to find the one thing that broke prod. What if an AI did all of that before you even opened your laptop? I built exactly that — here's the full walkthrough.
https://github.com/ingchrist/AI-Log-Analyzer
Top comments (2)
The "10,000 log lines, find the one thing that broke prod" framing is the right target, because log triage is mostly pattern-matching and correlation, exactly the grunt work a model should absorb so the human shows up to a hypothesis instead of a wall of text. The "acts like a senior DevOps engineer" claim is the bar that's hard to actually hit though, and it's worth being precise about what separates senior from junior here: a junior pattern-matches the loudest error, a senior knows the loud error is often a symptom and traces to the quiet line three minutes earlier that actually caused it. So the test for your analyzer isn't "can it summarize the logs," it's "can it distinguish cause from symptom and say I'm not sure when the logs genuinely don't show why." An analyzer that confidently fingers the wrong line is worse than no analyzer during an incident. That surface-evidence-and-flag-uncertainty discipline is what I build into agent ops in Moonshift. Does it rank a likely root cause with the supporting log lines attached, or output a single confident verdict?
Does it rank a likely root cause with the supporting log lines attached ? Yes it does and actually ask for your permission before proceeding hence you can always manually verify.😉