Use case

QA Without a QA Team

You can run effective QA without a QA team by automating the reproduction step. FixFirstly’s AI QA agent reads incoming bug reports, signs into your web app, reproduces the issue, and files a verified, prioritized GitHub issue — the repetitive triage-and-reproduce work that would otherwise need a hire or eat your engineering time. You keep judgment on hard, non-deterministic cases; the agent handles the volume at run-based pricing ($0 free tier, $49–$349/mo).

Who it's for: Technical solo founders and 1–10 person teams, post-launch with paying users, who can’t justify a QA hire but are losing time and customers to unreproduced bugs.

How it works

  1. 1

    Point it at your inbound

    Connect the support/feedback sources where bug reports already arrive.

  2. 2

    Set safety scope

    Staging by default; production is opt-in per workspace with a second confirmation; restrict routes as needed.

  3. 3

    Let it run

    The agent reproduces reported bugs around the clock, clusters duplicates, and ranks by priority.

  4. 4

    Review verified issues

    You get confirmed GitHub issues with evidence — review and fix, instead of triaging and reproducing.

Frequently asked

Is an AI agent enough QA on its own?

It covers the reproduce-from-a-report bottleneck — the bulk of solo-founder QA pain. It doesn’t replace exploratory testing or release sign-off judgment, which stays with you.

When should I still hire QA?

When test surface and release cadence outgrow what an agent plus your review can cover. Until then, run-based pricing is far cheaper than a hire or a contractor.

What apps does it work with?

Modern web apps the agent can sign into with username and password. Mobile-only and SSO/headless-blocked apps aren’t supported yet.

Let the agent reproduce it

FixFirstly reads bug reports from your inbox, reproduces them on staging, and files verified GitHub issues. Free during early access.

Join the waitlist