Hypothesis-driven incident investigation with AI
This tool uses hypothesis-driven debugging - instead of guessing, it generates testable hypotheses with specific verification steps. Mark each as confirmed or ruled out to track your investigation.
Paste error logs, stack traces, or incident descriptions and get AI-powered root cause analysis with fix suggestions. Free — no signup. This page is built for people who want a fast path to a working result, not a vague prompt-and-pray workflow. If you need a more reliable first draft, cleaner output, or a repeatable workflow you can hand to a teammate, Incident Debugger is designed to shorten that path.
Most visitors use Incident Debugger because they need something specific done now: a deliverable, a decision, or a workflow checkpoint. The sections below show the fastest way to get value from the tool and the adjacent pages that help you keep going.
Debug incidents faster with AI:
For engineers dealing with production incidents.
Quickly identify root causes during 2am production incidents.
Document incident analysis and generate post-mortem templates.
Understand cryptic error messages and stack traces with AI explanations.
Debug infrastructure issues from logs without deep application knowledge.
A strong outcome from Incident Debugger is not just “some output.” It should be usable with minimal cleanup, aligned to the task you opened the page for, and specific enough that you can paste it into the next step of your workflow without rewriting everything from scratch.
If the first pass feels too generic, use the use cases, FAQs, and related pages here to tighten the scope. That usually produces better results faster than starting over in a blank chat.