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Ichnois
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Use Case•Built & Tested

Incident Triage Automation

Turn production exceptions into evidence-backed GitHub issues with verified release blame.

Pipeline Sequence

Error Payload
Release Blame
Diff Context
Bounded AI
Human Review

Triage Execution Steps

01

Error Ingestion

Telemetry webhook or project DSN arrives with stack trace, release SHA, and event count.

02

Release Blame

GraphQL blame queries the deployed release commit for the in-app failing line.

03

Bounded Synthesis

LLM receives diff context and formulates a technical hypothesis and 3 verification checks.

04

Human Approval

Engineer reviews draft in dashboard cockpit and confirms issue creation.

Honest Boundaries & Limitations

In adherence to our strict transparency principles, review the operational caveats of this workflow:

  • •Blame identifies the author who last touched the line, which may not be the root cause.
  • •Large refactors, reformatting commits, and squash merges can obscure true fault.
  • •Confidence is expressed only as high or low; it is not a statistical probability.
  • •Ichnois never edits code or modifies repository branches.