Let users file bug reports through an AI that dedupes and writes the ticket

A team runs an AI tool that checks for duplicates, writes up the ticket and submits it, using MCP to talk to their tracker.

By muzani on Hacker News · Posted Sep 4, 2026 · Added Oct 15, 2026

Difficulty: IntermediateOur rating
Time to build: Not reportedOur estimate
Monthly cost: Not reported
Revenue: Not reportedWe only show revenue the source states
Engagement: 2 replies to HN commentComment in “Ask HN: Who is using MCP in production?” (198 points, 201 comments) · fetched Oct 15, 2026

What they did

muzani built an AI tool where people report bugs or feature requests in plain language. It searches existing tickets to avoid duplicates, writes the ticket, and submits it. They praise Linear’s MCP as clean and well designed.

How it went

Running in production; they pick the cheapest model that stays accurate enough.

Worth knowing

Cost matters in production: pick the cheapest model that is still accurate.

Builder recipe

Our own starting point, written from the source. Adapt it to your setup.

Stack

An LLM with tool calling
Linear MCP (or your tracker API)
A small intake UI

Steps

Collect the incoming channel (inbox, form, tickets) into one workflow.
Have the model classify and extract fields, returning structured JSON.
Route or draft replies; keep a human approval step for anything customer-facing.
Log results and review misclassifications weekly.

Starter prompt

A user reported: "[text]". Search existing tickets for duplicates. If one matches, add this report as a comment. Otherwise write a ticket with title, steps to reproduce, expected vs actual, and severity, then submit it.