Bug triage on autopilot with Neuro OS
Engineering and support roles ingest Sentry, tickets, and reviews — dedupe, score severity, attach reproducers, file one issue per root cause, Ask before customer-facing status updates.
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Neuro OS workflow
400 alerts/day is noise; 2–8 actionable issues is a queue. Neuro OS runs bug triage as a continuous loop: multi-source ingest, dedupe across Sentry + support + social, severity by user/revenue impact, reproducer attempt, single Linear/GitHub issue per root cause.
How it runs
Multi-source ingestion
Webhooks: Sentry, Datadog, Intercom, app store reviews, status page comments.
Dedupe layer
Link customer reports to Sentry groups via session IDs; collapse duplicate surfaces.
Severity scoring
S0 revenue-blocking → S3 cosmetic; factors: % users, MRR exposure, growth rate.
Reproducer synthesis
For S0/S1: stack trace + recent commits + session replay → draft Playwright/curl reproducer attached to issue.
Routing
S0: page human + draft status update (Ask to publish). S1: urgent issue with reproducer. S2/S3: weekly batch review.
Customer comms
Support role acknowledges within SLA with real issue id and ETA — Ask before send.
Pre-deploy regression check
PR diff cross-referenced against closed bugs from last 90 days.
Roles on Neuro OS
- Engineering triage role
- Support investigator role
- Human on-call for S0
What you get
- One issue per root cause
- 60–80% S1 issues with reproducer before human opens IDE
- Customers get named issue + ETA, not templates
Related: Engineering solutions · Support solutions