How does AI help with exploratory testing?

AI acts as a conversation partner before a session: describe the feature and it suggests 15 non-obvious scenarios that are typically missed. For a mobile bank's account section, that means things like changing the email from two devices at once, changing the password while the session expires, or unlinking a social account during an active login through it.

How do I find boundary values for a field with AI?

Describe the field and its limits — AI returns a set of values to check. For a transfer amount field (1 to 1,000,000) that is: 0, 0.01, 0.99, 1.01, 999,999.99, 1,000,000.01, negative numbers, a comma instead of a dot, a space inside the number. You would have written part of that list yourself — but not all of it.

How do I write a bug report quickly with AI?

Describe what happened in your own words and ask for a report with a title, numbered reproduction steps, actual and expected results, and Severity. AI returns a clean structured document — you only review and submit.

Can AI help reproduce a flaky bug?

Yes. Describe the symptoms and frequency (for example, a button fails 1 time in 5) — AI lists the conditions that may matter: slow connection, fast double click, authorization state, cart size. That gives you concrete hypotheses for reproducing the bug reliably.

Will AI replace manual QA engineers?

No. AI does not see the screen and does not know your product or business logic — it does not replace a tester's intuition, it widens the angle of view. Use it like an experienced colleague who has seen a lot: for generating ideas, checklists, and quick dives into unfamiliar topics like OAuth 2.0.

AI for QA engineers: exploratory testing and bug reports

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AI as a partner during a session

Exploratory testing is when there are no scripts — you test by hand, with your brain switched on. This is where AI is useful not as an automator, but as a conversation partner. The basics — generating test cases and data — come in handy here too.

Before the session, ask:

I'm testing the personal account section: changing email, password,
linking/unlinking social accounts. The app is a mobile bank.

Suggest 15 unusual scenarios that are typically missed.

AI will come up with things you might not have thought of: changing email simultaneously from two devices, changing the password while the session expires, unlinking a social account during an active login through it.

Finding edge cases

Ask AI to "break" any field:

We have a "Transfer amount" field. Currency is rubles.
Minimum 1 RUB, maximum 1,000,000 RUB.
What values should be tested?

AI will suggest: 0, 0.01, 0.99, 1.00, 1.01, 999,999.99, 1,000,000.00, 1,000,000.01, negative numbers, fractions with three decimal places, comma instead of dot, space inside the number.

You'd come up with some of these yourself — but not all of them.

Generating ideas by feature type

I'm testing a "share document by link" feature.
The link can be password-protected or not, with a time limit.

Build a checklist: what to look out for when testing
"sharing" features in general?

AI knows the patterns and typical bugs — expired links, links after the document was deleted, access rights when the owner changes. Use it as a reminder.

Quickly understanding an unfamiliar feature

You've been given OAuth 2.0 authorization to test, and you don't really get how it works:

Explain in simple terms how OAuth 2.0 authorization works.
What can go wrong from the user's point of view?
What to look out for when testing?

Five minutes — and you have a basic grasp of the mechanics and a list of risks.

Writing bug reports

Instead of searching for words — dictate to AI what happened:

I went to my profile, clicked "Change avatar",
selected a 2 MB jpg file, clicked "Save" — got
the error "File too large", although the help says
the maximum is 5 MB.

Write a bug report:
- Title
- Reproduction steps (numbered list)
- Actual result
- Expected result
- Severity

You'll get a clean, structured report — all that's left is to review and submit.

Help with reproduction

The bug doesn't always reproduce. Describe the situation — AI will suggest options:

Bug: the "Place order" button sometimes doesn't respond to clicks.
Reproduces about 1 in 5 times, no clear pattern.

What conditions might affect this? What should I try
to reproduce it consistently?

AI will suggest: slow connection, fast double-click, switch from mobile to desktop, authorization state, cart size.

AI doesn't replace your tester's intuition — it widens your field of view. Ask it questions like an experienced colleague who's seen a lot. To fit this into your sprint, see planning and prioritization.