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AI Test Case Generator
Turn a feature or acceptance criteria into a structured test-case scaffold - happy path, edge, error, and security - ready to refine.
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Bullets and numbering are stripped automatically. Heuristics only - an editable scaffold, not a finished suite.
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71 cases
across 5 features
Happy path17
Edge cases13
Error handling15
Permissions & security26
Counts are illustrative - how the scaffold is distributed, not a benchmark.
A logged-in user can upload a profile photo
Happy path
- ☐A valid, authorised user completes "A logged-in user can upload a profile photo" successfully
- ☐"A logged-in user can upload a profile photo" persists the change and reflects it on reload
- ☐"A logged-in user can upload a profile photo" handles a well-formed file of the expected type
- ☐The user receives clear success feedback after "A logged-in user can upload a profile photo"
Edge cases
- ☐"A logged-in user can upload a profile photo" with empty / whitespace-only input behaves predictably
- ☐"A logged-in user can upload a profile photo" with maximum-length and boundary values is accepted or rejected consistently
- ☐"A logged-in user can upload a profile photo" with an oversized or zero-byte file is rejected gracefully
Error handling
- ☐"A logged-in user can upload a profile photo" with malformed input returns a specific, actionable message
- ☐"A logged-in user can upload a profile photo" with an unsupported file type is rejected with a clear reason
- ☐A backend failure during "A logged-in user can upload a profile photo" leaves data consistent and is surfaced, not swallowed
- ☐Network loss mid-"A logged-in user can upload a profile photo" does not corrupt state or double-apply
Permissions & security
- ☐An unauthenticated user cannot perform "A logged-in user can upload a profile photo"
- ☐"A logged-in user can upload a profile photo" cannot be triggered on another user's resource by ID tampering
- ☐"A logged-in user can upload a profile photo" input is sanitised against injection and XSS
- ☐"A logged-in user can upload a profile photo" does not leak data belonging to other tenants or users
- ☐"A logged-in user can upload a profile photo" writes an audit-log entry capturing actor, timestamp, and outcome
Users can filter the orders list by status and date range
Happy path
- ☐A valid, authorised user completes "Users can filter the orders list by status and date range" successfully
- ☐Results for "Users can filter the orders list by status and date range" match the applied criteria and expected order
- ☐The user receives clear success feedback after "Users can filter the orders list by status and date range"
Edge cases
- ☐"Users can filter the orders list by status and date range" with empty / whitespace-only input behaves predictably
- ☐"Users can filter the orders list by status and date range" with maximum-length and boundary values is accepted or rejected consistently
- ☐"Users can filter the orders list by status and date range" with zero results shows an empty state, not an error
- ☐"Users can filter the orders list by status and date range" with a very large result set paginates without timing out
Error handling
- ☐"Users can filter the orders list by status and date range" with malformed input returns a specific, actionable message
- ☐Network loss mid-"Users can filter the orders list by status and date range" does not corrupt state or double-apply
Permissions & security
- ☐An unauthenticated user cannot perform "Users can filter the orders list by status and date range"
- ☐A user without the required role is blocked from "Users can filter the orders list by status and date range" (403, not silent success)
- ☐"Users can filter the orders list by status and date range" input is sanitised against injection and XSS
- ☐"Users can filter the orders list by status and date range" does not leak data belonging to other tenants or users
- ☐"Users can filter the orders list by status and date range" writes an audit-log entry capturing actor, timestamp, and outcome
Admins can delete another user's account
Happy path
- ☐A valid, authorised user completes "Admins can delete another user's account" successfully
- ☐"Admins can delete another user's account" persists the change and reflects it on reload
- ☐The user receives clear success feedback after "Admins can delete another user's account"
Edge cases
- ☐"Admins can delete another user's account" behaves correctly at its boundary conditions
Error handling
- ☐A backend failure during "Admins can delete another user's account" leaves data consistent and is surfaced, not swallowed
- ☐Network loss mid-"Admins can delete another user's account" does not corrupt state or double-apply
Permissions & security
- ☐An unauthenticated user cannot perform "Admins can delete another user's account"
- ☐A user without the required role is blocked from "Admins can delete another user's account" (403, not silent success)
- ☐"Admins can delete another user's account" cannot be triggered on another user's resource by ID tampering
- ☐"Admins can delete another user's account" does not leak data belonging to other tenants or users
- ☐"Admins can delete another user's account" writes an audit-log entry capturing actor, timestamp, and outcome
The checkout form submits payment and shows a confirmation page
Happy path
- ☐A valid, authorised user completes "The checkout form submits payment and shows a confirmation page" successfully
- ☐"The checkout form submits payment and shows a confirmation page" persists the change and reflects it on reload
- ☐The user receives clear success feedback after "The checkout form submits payment and shows a confirmation page"
Edge cases
- ☐"The checkout form submits payment and shows a confirmation page" with empty / whitespace-only input behaves predictably
- ☐"The checkout form submits payment and shows a confirmation page" with maximum-length and boundary values is accepted or rejected consistently
Error handling
- ☐"The checkout form submits payment and shows a confirmation page" with malformed input returns a specific, actionable message
- ☐A backend failure during "The checkout form submits payment and shows a confirmation page" leaves data consistent and is surfaced, not swallowed
- ☐Network loss mid-"The checkout form submits payment and shows a confirmation page" does not corrupt state or double-apply
Permissions & security
- ☐An unauthenticated user cannot perform "The checkout form submits payment and shows a confirmation page"
- ☐A user without the required role is blocked from "The checkout form submits payment and shows a confirmation page" (403, not silent success)
- ☐"The checkout form submits payment and shows a confirmation page" cannot be triggered on another user's resource by ID tampering
- ☐"The checkout form submits payment and shows a confirmation page" input is sanitised against injection and XSS
- ☐"The checkout form submits payment and shows a confirmation page" does not leak data belonging to other tenants or users
- ☐"The checkout form submits payment and shows a confirmation page" writes an audit-log entry capturing actor, timestamp, and outcome
Export the current report as a CSV file
Happy path
- ☐A valid, authorised user completes "Export the current report as a CSV file" successfully
- ☐"Export the current report as a CSV file" persists the change and reflects it on reload
- ☐"Export the current report as a CSV file" handles a well-formed file of the expected type
- ☐The user receives clear success feedback after "Export the current report as a CSV file"
Edge cases
- ☐"Export the current report as a CSV file" with empty / whitespace-only input behaves predictably
- ☐"Export the current report as a CSV file" with maximum-length and boundary values is accepted or rejected consistently
- ☐"Export the current report as a CSV file" with an oversized or zero-byte file is rejected gracefully
Error handling
- ☐"Export the current report as a CSV file" with malformed input returns a specific, actionable message
- ☐"Export the current report as a CSV file" with an unsupported file type is rejected with a clear reason
- ☐A backend failure during "Export the current report as a CSV file" leaves data consistent and is surfaced, not swallowed
- ☐Network loss mid-"Export the current report as a CSV file" does not corrupt state or double-apply
Permissions & security
- ☐An unauthenticated user cannot perform "Export the current report as a CSV file"
- ☐"Export the current report as a CSV file" cannot be triggered on another user's resource by ID tampering
- ☐"Export the current report as a CSV file" input is sanitised against injection and XSS
- ☐"Export the current report as a CSV file" does not leak data belonging to other tenants or users
- ☐"Export the current report as a CSV file" writes an audit-log entry capturing actor, timestamp, and outcome
From acceptance criteria to test coverage
Most missed bugs are not exotic - they live in the scenarios nobody wrote a test for: the empty list, the expired session, the user editing someone else's record by changing an ID. A blank test file makes those easy to forget. This generator expands each feature into the four buckets a reviewer would ask about anyway - happy path, edge cases, error handling, and permissions/security - so the gaps are visible before code review.
The scaffold is a starting point, not a verdict. It works best when your criteria are already specific: pair it with the acceptance criteria grader to tighten each line, the product plan generator to define scope, and the guide on how to write a product plan for the reasoning behind testable requirements.
Coverage is also a measurement story. When behaviours are stated as checkable cases, you can trace them from plan to shipped code with measure, which is especially useful when reviewing AI-generated code you did not write line by line.
Frequently asked
Each input line is treated as a feature or acceptance criterion. The tool runs local keyword heuristics (does it take input? mutate data? involve a list, a file, or a privileged action?) and expands it into a scaffold across four buckets: happy path, edge cases, error handling, and permissions/security. It is deterministic - the same input always yields the same scaffold.
Plan it, build it, then measure it shipped
FeatureFactory helps engineering teams plan, build, and measure AI web development - so the coverage you scaffold here actually reaches production.