AI
Stack trace analysis
Full stack traces from application logs are parsed and analysed automatically to pinpoint the exact failure point and affected code path.
AI Error Diagnosis & Automatic Ticketing
From detection to assigned ticket in seconds
Sagyboar analyses stack traces, identifies root causes, and auto-creates prioritized tickets in your repo — routed to the first available developer.
6 capabilitiesAINew
AI Error Diagnosis & Automatic Ticketing
What's included
Everything AI Error Diagnosis & Automatic Ticketing brings to your stack.
AI
Root cause identification
Identifies probable root causes — OOM errors, dependency failures, misconfigurations, or code bugs — with confidence scores per diagnosis.
AI
Remediation recommendations
Generates specific resolution steps with configuration snippets or code examples, estimated resolution time, and priority level for each issue.
New
Automatic issue ticketing
When an error is detected, Sagyboar auto-creates a ticket in your connected repository (GitHub Issues, GitLab, Jira) with a full AI-generated description, priority, and estimated fix time.
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Priority-based agent assignment
High-priority tickets are instantly routed to the first available developer on your team. No manual triage, no delay in response to critical issues.
AI
Incident history & correlation
Stores all past diagnoses and cross-references new issues against historical patterns to identify recurring problems and surface long-term fixes.
Explore more features
One platform for deployment, monitoring, diagnosis, and your team.
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