AI AUTOMATION — AI tools for QA

Use AI tools to speed up QA work: test ideas, bug reproduction, documentation and reports.

  • Advanced
  • 4–6 weeks, flexible pace
  • Faster QA tasks powered by AI
  • QA who want to bring AI into their work
  • AI for test design and coverage
  • AI-assisted bug reports
  • Prompt templates for QA tasks
  • AI skills with phases: the agent writes and checks the tests
  • Practical workflow acceleration
  1. Module 1 — AI foundations for QA
    • Prompt structure: role + context + constraints + output
    • Asking for clarifying questions automatically
    • Verification: checklists for AI answers
  2. Module 2 — Test cases & checklists generator
    • Edge cases generator prompt
    • Risk-based prioritization prompt
    • Regression list builder prompt
  3. Module 3 — Bug report “pro” templates
    • Bug rewriting into Jira format
    • Severity/priority suggestion with reasoning
    • Reproduction + minimal steps
  4. Module 4 — Debugging with AI
    • “Explain this stack trace” workflow
    • Root cause hypotheses (ranked)
    • Next steps for QA to confirm
  5. Module 5 — API testing with AI
    • Generate API test scenarios from endpoints
    • Create Postman tests / sample collections
    • Generate RestAssured test skeletons
  6. Module 6 — Cursor workflows for test code
    • Refactor tests to Page Objects
    • Improve waits/locators (stability)
    • Generate reusable utilities (config, helpers)
  7. Module 7 — QA documentation with AI
    • Test plan generator
    • Release notes / QA summary generator
    • Stakeholder-friendly “What’s risky?” report
  8. Module 8 — Personal AI system for QA
    • Prompt library organization
    • Reusable “one-click” outputs structure
    • Quality checklist for AI outputs
  9. Module 9 — AI agents: skills and phases
    • What a skill is and why the agent’s work is split into phases
    • Your own testing skill: instructions, limits, definition of done
    • Phase 1 — analysis: the agent reads requirements and finds coverage gaps
    • Phase 2 — generation: the agent writes tests following your rules
    • Phase 3 — self-check: the agent runs the tests, fixes failures, reviews its own code
    • Where a human is still required: coverage review, flaky tests, release accountability
  10. Final Project — AI QA Toolkit Pack
    • Prompt library (20–40 prompts, categorized)
    • Test case generator template (requirements → tests)
    • Bug report “pro” template (Jira-ready)
    • QA summary / test plan templates
    • Your own AI skill with phases that writes and checks tests