Go from “AI as a copilot” to a team of AI testing agents running in your pipeline — with evidence you can trust.
Most books on testing with generative AI stop at one human chatting with one assistant. Agentic QA starts where they end. Chapter by chapter, you build QA Crew: an Analyst that turns specs into risks, a Designer that writes test cases worth keeping, an Executor that writes and runs Playwright tests, a Triager that turns red builds into actionable bugs, and a Reviewer that checks their work, with a human test lead making the decisions.
Everything is TypeScript, vendor-agnostic and runnable. Agents switch between Claude, GPT, Gemini or a local model by changing configuration. Tools are exposed through MCP, so the same tools work for your agents and for Claude Code, Cursor, Copilot and Codex. And the book shows where QA plugs into today’s agentic workflows, Spec-Driven Development with Spec Kit and Organic Driven Development, with traceability from every requirement to its tests.
What's inside: Version 0.3
71% complete. Parts 1–3 are published; Part 4 is in progress. Buy once and get every update free.
PART 1 — FOUNDATIONS
1. From Copilot to Crew: Why Agentic QA (free sample): where agents help in testing, where they hurt, and your new role as test lead.
2. Anatomy of a QA Agent: a vendor-neutral agent loop with structured output and guardrails.
3. Tools and MCP: Giving Agents Hands: one MCP server of QA tools for your agents and your IDE. 4. Where QA Plugs into Agentic Development: SDD and ODD: traceability from every requirement to its tests.
PART 2 — BUILDING SINGLE QA AGENTS
5. The Analyst: From Requirements to Risks: a scored, grounded risk map you review.
6. The Designer: Test Cases You Would Actually Keep: classic test design techniques, curated in code.
7. The Executor: Agents That Write and Run Playwright Tests: quality gates and independent verification.
8. The Triager: From Red Build to Actionable Bug: classified failures and draft bug reports.
PART 3 — MULTI-AGENT ORCHESTRATION (NEW IN 0.3)
9. Orchestration Patterns for QA Teams: one crew run with approval gates, a token budget and a model per role.
10. The Reviewer: Agents That Check Agents: catches tests that pass for the wrong reason, with real calibration results.
11. QA Crew Inside Your IDE and Your Team: the whole crew in Claude Code, Cursor and Copilot, where decisions stay yours.
PART 4 — PRODUCTION AND TRUST (COMING NEXT)
12. Evaluating Your QA Agents: measure every agent, and compare models on real runs.
13. QA Crew in CI/CD: the crew in your pipeline, with retries, budgets and gates.
14. Testing Software That Has AI Inside: use the crew on a feature with an LLM in it.
Appendices: environment setup, mapping QA Crew to agent frameworks, and a prompt and rubric library.
Companion code: github.com/enriquedcs/qa-crew. Every chapter has a start and a done tag (ch01-start to ch11-done).
Found something unclear, wrong or missing? Use the feedback link. This book is written with its readers.