Auto Root Cause Analysis

The moment a bug is flagged, Overcut investigates — tracing stacktraces and code history to pinpoint the likely cause with evidence and a minimal, risk-assessed fix.

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Auto Root Cause Analysis

Trusted by engineering teams at

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First responder for every bug report

Overcut identifies the repos behind the issue, clones them for context, then runs an RCA expert agent that reads the code, traces history, and returns a diagnosed cause plus a suggested fix.

Auto Root Cause Analysis

The edge cases, covered

Every conclusion comes with supporting evidence and a confidence score, and the workflow only escalates when it is sure.

Evidence-backed diagnosis

Traces stacktraces and git history to identify the likely cause, then backs the conclusion with concrete supporting evidence.

Confidence scoring

Rates every finding as high, medium, or low confidence so your team knows how much to trust the analysis before acting.

Auto-triggers a fix

When confidence is high, it posts a /pr comment to kick off the design-to-PR workflow and start the fix automatically.

Knows when to ask

If the report lacks enough detail, it labels the issue needs-info and requests the specifics rather than guessing.

Multi-repo aware

Identifies and clones up to three relevant repositories, so cross-service bugs are investigated with full context.

Works against your real codebase

Connects to your issue tracker and pulls source straight from the repositories the bug touches — up to three at once.

GitHub
GitLab
Jira
Overcut

Running from day one

Triggers automatically when an issue is labeled needs-rca — typically by the triage workflow — or on demand with /bug-rca on any issue.

Auto Root Cause Analysis
Guidde

“With Overcut, we finally standardized our workflows and embedded AI at every critical checkpoint, elevating code quality and minimizing operational risk.”

Asaf David, VP R&D, Guidde

+20%

Hours saved per week with Overcut

80%

Faster PR reviews