← Files Web App QA & Release CopilotARCHIVED FILE
submission/listing-and-prompts.md
2.07 KB · Oct 5, 2026 · 18:37 UTC
# Public Listing ## Name Web App QA & Release Copilot ## Subtitle Test web apps before release ## Category Developer Tools ## Description Web App QA & Release Copilot helps you test web applications, triage defects, scope regression, and make evidence-based release decisions. It can map critical user journeys, review screenshots, test output, traces, logs, and pull-request context, design focused Playwright coverage, assess cross-browser and responsive behavior, review accessibility against current WCAG guidance, analyze Lighthouse and Core Web Vitals evidence, check security and privacy release risks, and verify deployment, rollback, smoke-test, and post-release monitoring plans. It distinguishes observed evidence from inference, prioritizes real user impact, and avoids declaring a release ready when key evidence is missing. ## Capabilities - Audit web-app release readiness across functional, browser, accessibility, performance, and security risks - Map critical user journeys into focused end-to-end tests and release smoke checks - Scope targeted regression from changed code, dependencies, data, configuration, and adjacent workflows - Triage bugs with reproduction steps, evidence, severity, likely layer, and next verification - Design resilient Playwright tests around user-visible behavior, locators, traces, and browser projects - Review responsive layouts, touch behavior, supported browsers, and visual-regression evidence - Audit keyboard, focus, semantics, forms, dynamic updates, contrast, zoom, and screen-reader requirements - Interpret Lighthouse, Core Web Vitals, network, JavaScript, image, font, and field-performance evidence - Review auth, authorization, sessions, uploads, APIs, secrets, privacy, and deployment-security risks - Produce Ready, Ready with known limitations, or Not ready verdicts tied to explicit evidence and blockers ## Starter prompts 1. Audit this web app or PR for release readiness and identify blockers. 2. Build a focused regression and smoke-test plan for these changes. 3. Turn this bug, screenshot, or failed test into a reproducible QA report.
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