QA prompts library

Use these prompts to turn product requirements, bug reports, user flows, pull requests, and application URLs into better QA work. AlwaysQA helps your AI agent think like a QA engineer.

25

Ready prompts

10

Workflow areas

Local-first

Agent QA workflows

Use the prompts below inside your coding agent, QA workflow, or AlwaysQA MCP-connected environment.

Requirements to QA coverage

Test planning

Turn product requirements, user stories, test data needs, and implementation plans into structured QA coverage.

5 prompts

Use case

Use this when QA needs realistic data sets for positive, negative, boundary, and role-based testing.

Best for

QA engineers, product teams, and developers starting new feature work.

Open prompt

Human QA sessions

Exploratory testing

Plan human QA sessions for risky flows, accessibility issues, and mobile behavior that automation can miss.

3 prompts

Changed flows and releases

Regression testing

Build regression and end-to-end coverage after existing product flows change.

2 prompts

Reports to QA action

Bug triage

Turn bug reports, logs, support tickets, and PRs into clearer reproduction steps and QA action plans.

5 prompts

Flows to automated QA

Playwright test generation

Generate browser test scenarios and Playwright TypeScript checks from user flows and acceptance criteria.

2 prompts

Endpoints and contracts

API testing

Create endpoint-level test cases for contracts, validation, permissions, and error responses.

1 prompts

Things likely to break

Edge cases

Find negative paths, edge conditions, auth failures, billing risks, and responsive behavior before users do.

4 prompts

Ship with confidence

Release QA

Prepare release validation checklists for smoke tests, regressions, rollback readiness, and post-release monitoring.

1 prompts

CI stability

Flaky test debugging

Review unstable Playwright tests for selector, timing, state, and CI reliability problems.

1 prompts

Always-on QA

Monitoring checks

Create production and staging smoke tests that catch broken critical flows before customers report them.

1 prompts

How to use these prompts

Turn prompts into repeatable QA checks

AlwaysQA is designed for teams that want QA to happen continuously, not only before release.

  1. 1 Paste the prompt into your AI agent or AlwaysQA-connected workflow.
  2. 2 Add your product context, URL, ticket, PR, bug report, or logs.
  3. 3 Let the agent generate the QA plan, test cases, or Playwright checks.
  4. 4 Review the output like a QA lead.
  5. 5 Save the most important checks as automated AlwaysQA monitors.

Continuous QA

Let your agent test your app continuously

Connect AlwaysQA to your workflow and turn prompts, tickets, PRs, and user flows into automated QA checks.

Your QA engineer can:

  • Generate test scenarios
  • Create Playwright checks
  • Validate bug reports
  • Run smoke tests
  • Monitor critical flows
  • Report what broke and why
Start testing with AlwaysQA