Use case

An AI QA agent that proves what it finds

Most QA automation needs someone to decide what to test. Locodera is an AI QA agent that makes that decision itself, then proves the result before adding it to your issue list.

Last updated October 31, 2026

Who this is for

Teams replacing manual exploratory QA with an autonomous agent.

The problem

  • Your test suite only covers flows someone remembered to write down.
  • Manual exploratory testing does not scale across releases.
  • AI-generated bug reports are hard to trust without evidence.

How Locodera handles it

  1. 01

    Add a URL

    Optionally provide test credentials for the parts of the app behind a login.

  2. 02

    The agent explores

    It maps pages, forms and flows, then adopts six personas and tries edge cases.

  3. 03

    A verifier decides

    Every suspicion is replayed three times in a clean browser session. Only 3/3 is confirmed.

  4. 04

    You get a verdict

    Evidence, a report and a Don't Ship Score for the release decision.

Relevant capabilities

Autonomous exploration

A real browser maps pages, forms and flows without scripts.

Six personas

New, returning, paying, frustrated, mobile and admin users.

3/3 verification

Only findings that reproduce every time are confirmed.

Evidence

Screenshots, video, console and network logs per attempt.

Don't Ship Score

A deterministic release verdict with reasons.

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FAQs

What makes it an agent rather than a test runner?+

It decides which pages, flows and edge cases to try without a predefined test script, then verifies what it finds.

Can it test behind a login?+

Yes. Add a dedicated test account and Locodera signs in during exploration and verification.

Does it replace my test suite?+

No. It complements deterministic tests by covering the unknown paths they were never written for.

Find the bugs your tests never looked for.

Add your app, run an exploratory scan, and get a release verdict backed by evidence.