Walk into your Agentic QA interview already knowing the questions.
In one live hour, we break down 5 questions from real Agentic QA Automation interviews: what a strong answer sounds like, the follow-ups that come next, and how to explain the project you built so it lands.
Interviewer asks
“How do you verify the tests your agent generated actually work?”
What we'll cover
5 questions you're likely to hear. And what comes after.
Taken from real Agentic QA Automation interviews, not a textbook list. The first answer gets you started. The follow-up is where interviewers decide.
Save my free seat →- 01Hooks, agents and workflows: what's the difference?Follow-upWhen would you pick a hook over an agent?
- 02Walk me through the Agentic QA flow you built.Follow-upWhere does a human stay in the loop, and why there?
- 03How do you verify agent work and generated tests?Follow-upHow do you catch a test that passes but checks nothing?
- 04How do you handle session memory loss?Follow-upWhat do you persist between sessions, and where?
- 05How do you optimize tokens and enforce budgets?Follow-upWhat happens when an agent hits its budget mid-run?
For every question
You leave with answers you can actually say out loud.
A strong answer, broken down
How it's structured and why it works, so you can rebuild it in your own words instead of reciting a script.
The follow-ups that come next
The second and third questions interviewers ask, and a practical example you can use to answer each one.
Live practice on real projects
We practice explaining projects out loud, live, so your own work sounds as solid as it is.
Bring a project and the question that stumped you.
Have a project you've built, or an interview question you struggled with? Bring it. We'll work through real examples together during the session.
The real question isn't "will AI replace QA?" It's what a great QA engineer looks like now.
AI is getting surprisingly good at work we used to do manually - writing tests, reading failures, fixing its own mistakes, working directly inside engineering tools. You won't hear about it on September 3. You'll watch it happen.
No 60-slide presentation. We're actually going to use it.
Everything runs on a plain Claude subscription. No API keys, no per-token bills - that's a deliberate design choice, and we'll show you why it matters.
The agentic loop
One sentence in. The agent explores a real site, writes a real Playwright test, runs it, reads its own failure - and fixes it. Red to green, hands off the keyboard.
Your turn
You throw us the next test case in the chat and we run it live. Same loop, zero rehearsal.
The guardrails
We point the same tests at production - and the framework refuses to run them. Safety as code you own, not a polite request the AI can ignore.
The fleet
Monday morning, a wall of red tests. Three AI agents triage it in parallel - and fix nothing without a human saying yes.
CLAUDE.md + MCP
The rules file and the connections that turn a chatbot into something that behaves like an engineer on your project.
Open floor
Bring your questions - about your stack, your career, anything.
We'll talk about jobs.
You work in QA - manual, automation or SDET - and you've been thinking: "okay, but how do I actually use this?"
No jargon, we promise. If you've never written an automated test in your life, you'll still follow every minute - that's who we built this for.
Stay to the end and you'll get a free one-pager of the entire workflow you watched - yours whether you ever buy anything from Codemify or not.
