The Firetiger Loop

Tell Firetiger what you care about in your own words. No threshold tuning, no alert fatigue, no YAML configs to maintain.

Agents watch traces, logs, and metrics around the clock. They spot patterns that indicate something changed instead of waiting for thresholds to breach.

When performance degrades or errors spike, Firetiger correlates data with recent deploys, identifies possible root causes, and suggests ways to fix the issue.

Every notification includes the root cause, which customers are affected, and the business impact. No more "high error rate" alerts that tell you nothing.

By the time the message lands in your channel, Firetiger has already done the investigation your team would spend hours on.

See at a glance whether a fix is being worked on, waiting for review, or already deployed. Stay informed without opening another dashboard.

Claude Code et al receive everything they need: root cause analysis, relevant code paths, expected behavior, and how to verify the fix worked.

Agents write the fix and open the PR. You review the changes and decide when to merge. Nothing touches production without your approval.

After deploy, Firetiger monitors the fix in production. Not "did CI pass" but "are customers actually experiencing the production problem less".

Firetiger watches the same metrics that detected the original issue, now looking for improvement after your deploy goes out.

When metrics return to baseline, the issue is automatically marked as resolved. No manual status updates required.

If the fix didn't work or made things worse, Firetiger catches it immediately and notifies your team.