Cognition introduces Devin Auto-Triage for automated bug monitoring and pull requests
Cognition introduced Devin Auto-Triage, an AI system that monitors incoming bugs, alerts, and incidents from observability tools including Datadog, Sentry, PagerDuty, and Raindrop. The system uses a manager agent plus subagent fleet to maintain context across tasks and returns context, next steps, or pull requests. In one demonstration it examined a Pylon thread, identified a regression, and opened and merged PR #32513. The tool also deduplicates alerts and ranks fixes by impact and ease.
#1906Walden@WALDEN_YANOne think I really like with Devin Auto-Triage vs most home-grown SRE/bugfix automations:
It’s structured as a manager agent + a subagent fleet
The system has the full context + running memory. So I can ask for reports, to dedup bugs, to remember to tag certain people, and more
Cognition@cognitionIntroducing Devin Auto-Triage: Your AI first-responder with long-term memory. Devin can monitor incoming bugs, alerts, and incidents, investigate them, and come back with context, next steps, or a PR.
#1941ben hylak@BENHYLAKyou can now use devin to auto-triage issues from @raindrop_ai
(it's *really* good)
Cognition@cognitionIntroducing Devin Auto-Triage: Your AI first-responder with long-term memory. Devin can monitor incoming bugs, alerts, and incidents, investigate them, and come back with context, next steps, or a PR.
#1941ben hylak@BENHYLAKdevin auto-triage was executed flawlessly.
instead of relying on web hooks like cursor, devin just plugs into your slack. and then uses MCP to get additional context where needed.
try it with @raindrop_ai today :)
Cognition@cognitionIntroducing Devin Auto-Triage: Your AI first-responder with long-term memory. Devin can monitor incoming bugs, alerts, and incidents, investigate them, and come back with context, next steps, or a PR.
