In short
The SDK (TypeScript or Python) or a plain POST /ingest sends each production exception with its stack trace and request metadata the moment it happens.
Errors are collapsed by signature, so a bug that fires 10,000 times becomes one incident — not 10,000 tickets to wade through.
Each group is classified by error type, so similar failures cluster and the shape of the problem is obvious at a glance.
Frequency and first/last-seen are tracked on every group, so the loudest and freshest incidents stand out — no manual severity-sorting.
Ignore patterns, protected paths, and your plan quota are evaluated before anything leaves RunGuard, so noise and out-of-scope errors never become work.
The survivor is routed to your chosen coding agent as a scoped GitHub issue with a crash packet — or held for review if you want a human in the loop.
AI bug triage is the automatic classification, grouping, prioritization, and routing of incoming bugs so the most important ones get worked on first — without a person sorting every report by hand. RunGuard applies it to production errors: it dedupes by signature, classifies the error, surfaces the high-frequency incidents, and routes each one to your own coding agent as a scoped GitHub issue.
No. It removes the sorting toil — reading duplicate alerts, guessing severity, deciding who owns what — and hands a developer (or their coding agent) a single, context-rich, scoped task instead. The judgment and the fix still belong to your team.
It tracks frequency and first/last-seen on every error group and classifies by type, so the incidents firing most and most recently stand out. There is no opaque severity model guessing for you — the signals are concrete and visible on the dashboard.
RunGuard triages and routes. The actual code change comes from a coding agent you own — GitHub Copilot or Claude Code Action — running on your own seat or API key. Triage ends in an agent-ready GitHub issue, not a dead-end ticket.
No. Deduplication means one bug is one incident no matter how often it fires, and ignore patterns plus protected paths filter out-of-scope errors before they ever become an issue. Recurring errors update the existing issue instead of opening new ones.
Those triage tickets and reports that already live in a tracker. RunGuard triages raw production errors and ends in an agent-ready GitHub issue with a fix path — it is the step that turns an alert into scoped, routable work, not another inbox to sort.
Connect a repo, drop in the SDK, and let the next production error triage itself into a scoped GitHub issue.