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Every ticket triaged

Every new issue gets a consistent first pass — Overcut classifies it, sets priority, flags duplicates, and applies action labels that kick off the right downstream workflow.

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Automated Ticket Triage — example generated output

Three steps to a sorted backlog

Overcut identifies the repos behind an issue, clones them for context, then runs a product manager agent that categorizes, prioritizes, detects duplicates, and posts a clear triage summary.

Automated Ticket Triage — how the workflow runs, trigger to result

The edge cases, covered

Classification comes with confidence scoring, and lightweight tickets are spared from triggering automation they don't need.

Classification + action labels

Applies category labels like bug, feature, or question, plus action labels such as needs-rca that hand off to the right workflow.

Confidence-scored decisions

Every classification carries a confidence score, so only well-supported labels are applied to your issues.

Duplicate detection

Spots issues that overlap with existing ones and links them, cutting noise and keeping the backlog clean.

Requests missing info

Detects incomplete reports and asks for the specifics needed before an issue can be actioned.

Spares lightweight tickets

Tickets already tied to a PR or pre-labeled get classification only — no unnecessary automation is triggered.

Bridges tracker and code

Triages issues in your ticket system even when the code lives elsewhere, pulling repo context to classify accurately across systems.

GitHub
GitLab
Jira
Overcut

Running from day one

Triggers automatically the moment an issue is opened, or on demand with the /triage command on any existing issue.

Automated Ticket Triage — a run timeline from a real execution

Trusted by industry leaders worldwide

Dvir Cooper

“In just four months, Overcut has saved us countless hours and quickly become an indispensable tool that developers actively request for new projects.”

Dvir Cooper,R&D Group Lead, Zesty

Read the full story

100+

hours saved in the first four months

9/10

new projects start on overcut

Your AI factory starts with one command

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~/acme-app
$ npx overcut init
✓ Signed in
✓ Current workspace: Acme
✓ Connected: Claude Code
> Set up Overcut for this repo.
Inspecting repo: GitHub remote, pnpm, vitest, GitHub Actions
Proposed workflows:
1. Code review
2. Fix CI
3. Auto docs update on merge
Draft run of "Code review" passed.
Publish and activate triggers? [y/N]