A bug alert lands. The stack trace points somewhere real, but it doesn't tell the whole story. What changed? Who owns it? Is there already a ticket? Did a customer hit it? Was there a workaround in Slack?
Most AI tools see only what you paste. Corivo's agent can start with the alert and pull the surrounding context into the same frame.
The cost of the old way
Bug triage usually becomes tab triage:
- Open Sentry for the event and trace.
- Open GitHub or GitLab to inspect recent changes.
- Search Linear for a related issue.
- Search Slack or Intercom for impact.
- Write a summary for the person who owns the fix.
Each step is reasonable. The expensive part is stitching them together under time pressure.
What Corivo's agent does
You give Corivo one command: "Look into this error."
- Reads the alert from Sentry and the active screen.
- Checks recent code changes in GitHub or GitLab around the affected path.
- Finds the linked work in Linear, including acceptance criteria and owners.
- Checks impact context in Slack, Intercom, Gmail, or Feishu when those surfaces are connected.
- Drafts the triage note with suspected cause, impacted area, likely owner, and next action.
- You confirm and act. File the issue, assign the owner, or ask for the fix.
What the connected tools add
- Sentry — issue, event, trace, release, timestamps.
- GitHub / GitLab — recent diffs, PRs/MRs, commits, file paths.
- Linear — linked issues, owners, acceptance criteria.
- Slack / Feishu / Intercom — discussion and customer impact.
Screen context helps Corivo know which alert you mean; connected tools give it the source material to make the triage useful.
What you'll feel
The difference is not that Corivo finds every bug automatically. The difference is that the first pass is assembled. You start from a grounded triage note instead of a stack trace and five empty tabs.
The alert becomes a work item faster, with less guessing about owner, scope, and impact.