Quality Analyst, Not Quality Assurance.
A practical starting point for software testers: follow one phone-number login example through direct chat, structured Prompts, reusable Skills, and a repeatable quality loop.
A source-grounded look at Tom Akehurst’s testing pyramid argument, service-level API tests, mock boundaries, and risk-driven test investment.
Explore Ady Stokes' 12 testing mindsets, a four-round saved-cart exercise, and ways to use AI coaching, evidence, and evaluations to uncover quality risks.
How to filter AI testing noise: Rahul Parwal’s interview connects context engineering, evaluations, metrics, and tool choices to human judgment in QA.
AI can automate routine QA; people still clarify requirements, find risks, validate evidence, and guide teams. Lewis Prescott’s talk revisits ATDD and BDD.
When systems are unfamiliar, map knowledge gaps, assess risk, seek human feedback, and use AI responsibly. Inspired by Kim Muncey’s MoTaverse talk.
This blog post is a statement on the plagiarism of my articles.
