Sistava

AI Bug Triage and Engineering Handoff | Reproducible Tickets

AI Customer Support Team

Turn bug reports into clean engineering tickets in minutes

Customer bug reports arrive as fragments. A screenshot, a half remembered error message, a complaint that something is broken. Your engineering team spends hours every week translating these into reproducible tickets they can actually fix. Your AI support team handles the translation. It collects the missing details from the customer, reproduces the issue when possible, attaches the relevant logs, and files a clean ticket with steps to reproduce, expected behavior, and observed behavior. Duplicates are caught automatically. If three customers report the same crash on the same screen, they all get linked to one ticket. Engineering sees the real impact instead of triaging the same bug three times.

Benefits

How It Works

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At a Glance

70%
Reduction in engineering triage time
100%
Tickets shipped with repro steps
Auto
Duplicate detection across reports

Engineers Should Fix Bugs, Not Triage Them

A typical engineering team spends a third of its bug fix time on triage. Reading the report, asking for missing details, reproducing the issue, deduping against known bugs. AI handles the entire triage layer so engineers spend their time writing patches.

Closing the Loop Builds Loyalty

Most companies fix bugs but never tell the customer. The customer assumes the report disappeared into a void. Notifying every reporter when their bug ships turns a frustration into a moment of trust, and customers who feel heard renew at higher rates.

FAQ

Which engineering trackers does it integrate with?

Linear, Jira, GitHub Issues, GitLab Issues, Asana, and any tracker with a webhook. Tickets are filed with your existing labels, priorities, and component conventions.

How does it find duplicates?

It compares ticket symptoms, stack traces, and impacted screens against open and recently closed bugs. Likely duplicates are linked to the original instead of opening a new ticket.

Can engineering still ask the AI for more info?

Yes. If the engineer needs more from the customer, they comment on the ticket and the AI relays the question, gathers the answer, and updates the ticket.