Add AI-assisted QA test workflow: scenario cards, runner, hooks, API capture
A complete loop for defining, generating, running and gating tests: - qa/: scenario-card template + examples (API/UI/binding), the Claude generation prompt, and a QA runbook tying it together - e2e/CLAUDE.md: conventions that keep AI-generated tests consistent - run-tests.ps1: one runner for every layer (backend/api/web/ui/binding), logs per run under .testlogs/, JUnit output, evidence report, and a re-seed guard against stale demo data - .githooks/ + scripts/install-hooks.ps1: pre-commit secret scan and pre-push unit tests (shift-left before CI) - evidence report now captures each API call's request, payload and response (Authorization redacted); JUnit reporter added for CI - scripts/db.mjs: db:check freshness guard Azure DevOps pipeline deferred; the runner already emits JUnit + the evidence report for any CI to publish. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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id: BOOK-012
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title: The last seat cannot be oversold to two agents at once
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layer: binding
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area: Booking and cancelling
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risk: high
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owner: qa
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preconditions:
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- signed in as agent@skyline.test / skyline
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- a flight with exactly 1 seat remaining
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steps:
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given: a flight showing "1 left"
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when: two bookings for that flight are confirmed at the same moment
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then: one succeeds (201 with a PNR), the other is refused (409), and seats reach 0
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evidence:
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- the POST /api/bookings request and response for BOTH attempts
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- the seat count before and after (recorded data)
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- screenshot of the 409 "just sold" message on the losing attempt
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data:
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route: JFK -> LHR
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passengers: 1
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must_not:
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- the flight must never show negative seats
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- both bookings must never both succeed
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