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Guide

QA without a QA team

Most startups have no QA engineer, and most shipped bugs are the boring kind a fresh pair of eyes would catch. Here is a routine for a team of one to five that fits in a normal week.

5 agents try to .
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How do small teams do QA without a QA engineer?

Automate the checks that never change (a few unit and end-to-end tests for money and permissions), let AI agents use every preview deploy like new users, and do a short manual pass before big launches. Mimiq covers the middle part: agents in real browsers report what broke, which requests failed or were slow, and where they got stuck, for a few dollars a run.

What actually goes wrong

Not exotic bugs. A form that breaks on a phone, an email link to the wrong domain, a button that throws, a slow endpoint after signup. They ship because the person who built the change tested it once, on the path they built, and nobody else looked.

  • A few scripted tests for money and permissions.
  • Agents on every preview deploy for new-user paths.
  • A 20 minute manual pass before big launches.
  • Fix what most agents hit first.
  • About $1.90 for a run of 5 agents.

How it works

  1. 01

    Pick your three critical tasks

    Sign up, the core job, paying. Everything else is second.

  2. 02

    Script only what must never change

    Totals, permissions, data that must not leak. Keep it to a handful of tests you will actually maintain.

  3. 03

    Put agents on every preview

    The GitHub Action runs them when the preview is live and comments on the pull request.

  4. 04

    Triage weekly

    Fix what most agents hit; ignore one-off oddities unless the browser recorded an error.

Where agents fit

They are the fresh eyes. They will not tell you the tax calculation is off by a cent, and they will tell you the coupon field rejects lowercase codes and the "Continue" button is under the cookie banner on a phone.

Agents are simulated users. They find problems fast and on every build; they do not forecast how many real people will convert, they are not a deterministic regression suite, and they do not install native mobile apps.

40steps at most for each agent, each in its own real browser. Every step comes with a screenshot and what the agent was thinking at the time.
20agents at once, each acting as a different one of your users. The browser also records every error, failed request and request slower than 3 seconds on your site, on the step it happened. Agents find problems; they do not forecast how many people will convert.
$0for your first test, with a free account (Google sign-in, no card). It includes 50 credits, enough for 10 agents. After that an agent uses 5 credits, and packs start at $9 for 120 credits.
See a sample report

Questions

What does it cost a month?

The Builder plan is $19 a month for 500 credits: about 33 runs of 3 agents, or 20 runs of 5. 5 credits an agent.

Do I need CI?

No. You can paste a link in the app whenever you ship, or ask your coding agent to run it.

Keep reading

AI QA testing AI QA testing with agents that use your web app like your users: what broke, what was slow and where they got stuck, on any link or every deploy.Preview deployment testing Test every preview deployment with AI agents: they use the Vercel, Netlify or Cloudflare preview like users and comment on the pull request with what broke.For founders No traffic yet? AI agents use your homepage, pricing page and sign-up in real browsers and show what is broken. What to test first, and what needs real people.For indie hackers Launching a side project? Check that strangers can sign up and that nothing is broken, with AI agents that use your app before launch day. First test free.Find bugs before users How to find bugs before your users do: send AI agents through the preview first, read what the browser recorded, and fix what most of them hit.

Let the agents find what breaks first.

Your first test is free: sign in with Google and it starts right away. Last checked 2026-10-22.

5 agents try to .