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Accept an AI-built CRUD app only when it meets a human-owned, evidence-backed contract of observable outcomes—not merely because its generated test suite passes. Define the app’s own rules, test the normal create, read, update, and delete journeys, probe invalid and unauthorized cases, verify persisted state where it matters, and review whether the agent weakened tests to make its code pass.
What an acceptance-test contract should establish
An acceptance case should give a reviewer enough detail to reproduce the check and judge the result. Specify the starting state, the user and their role, the action, the expected visible outcome, and—when the screen alone cannot establish it—the required server-side state.
Write the rules from the product’s requirements. Required fields, uniqueness, validation messages, pagination, deletion semantics, role permissions, and business invariants differ between applications; there is no universal CRUD behavior to impose.
The following is a practical checklist synthesized from user-visible testing guidance, NIST verification guidance, and OWASP recommendations for independent negative testing. It is not a CRUD checklist prescribed verbatim by those sources.
- Create: A valid submission is accepted once, produces the expected confirmation, and appears in the appropriate view with the saved values.
- Read and list: The intended user can locate and view the record. Check search, sorting, pagination, and detail views when the product promises them.
- Update: An allowed edit persists and appears in the relevant view without silently changing unrelated fields.
- Delete: The specified deletion behavior occurs, and the record no longer appears where expected. State whether deletion is permanent, soft, or reversible.
- Invalid and boundary inputs: Missing, malformed, duplicate, oversized, and boundary values produce the documented result without unintended state changes.
- Authorization: For apps with multiple roles or tenants, test that a named unauthorized user cannot read, modify, or delete records beyond their permission. Identify the role and resource boundary; “permissions work” is not a testable criterion.
How to collect evidence for each check
Exercise the user-visible workflow
For browser acceptance tests, use interactions a person can perceive—such as accessible labels and roles—and assert the visible outcome. Keep setup, test data, and cleanup deterministic so that one test does not depend on another. Playwright documents these practices in its testing best practices.
Verify persistence beyond the screen
A successful screen update may not prove that data was saved on the server. When persistence is part of the acceptance condition, pair the browser action with an API or database postcondition. Playwright’s API testing documentation describes using its API request context to prepare state and check server-side results while keeping the user journey in the browser.
Keep test state isolated
Parallel tests that change shared server-side data can race. Playwright recommends separate accounts per worker for tests that modify shared state. Its authentication guidance also warns that stored browser state may contain cookies and headers that can impersonate an account; do not commit that state to source control.
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A green suite is meaningful only if its assertions still encode the intended behavior. OWASP’s Secure Coding with AI Cheat Sheet describes risks such as agents deleting failing tests, weakening assertions, replacing real dependencies with mocks, or changing a test to treat a bug as expected behavior.
Make review of test changes part of acceptance. In particular, inspect removed tests, weakened assertions, and newly introduced mocks. Add independently specified negative cases, and have a human write or independently verify security-critical checks. The agent that implemented a feature should not be the sole authority on what counts as success.
Use a layered evidence set rather than relying on one passing test suite: browser checks for user-visible workflows, API or integration checks for server behavior and persisted state, and applicable security, static, or dynamic verification. NIST’s developer verification guidelines recommend complementary techniques, including threat modeling, automated testing, static analysis, black-box and structural testing, historical tests, fuzzing, web application scanning where applicable, and dependency checks. OWASP’s LLMSVS v2.0 cautions that automated tool results alone are insufficient evidence of thorough verification.
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Choose checks by the evidence they provide
Compare testing approaches against the acceptance risks rather than choosing a tool by name. Playwright is one documented option for browser and API checks; the cited guidance does not establish it as the only suitable tool or compare it with commercial alternatives.
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|---|---|
| User realism | Does it exercise the browser workflow, or only call an API endpoint? |
| State confidence | Can it verify persisted server state, not just a transient screen update? |
| Isolation | Can each run control its data, account, cookies, and cleanup? |
| Independence | Were important assertions specified or reviewed independently of the agent that built the feature? |
| Risk coverage | Does the plan include negative inputs, permission boundaries, and applicable security checks? |
| Maintainability | Are selectors and assertions based on stable, user-facing contracts rather than incidental implementation details? |
How the guidance fits the standards
These sources provide relevant security and verification guidance, not a universal acceptance standard specifically for AI-built CRUD apps. OWASP Foundation’s AISVS 1.0, released in June 2026, describes 191 requirements across 12 chapters and three appendices, with verification levels 1, 2, and 3. That describes the standard’s scope, not CRUD test coverage. OWASP announced AI Testing Guide v1 on 26 November 2025. NIST published its SSDF Community Profile for Generative AI on 26 July 2024. NIST’s minimum developer verification guidelines were published on 6 October 2021 and the page notes an update on 12 March 2025.
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