(New Members Start Here) Welcome to AI & QA Accelerator!

Matviy Cherniavski

Jul '25 (edited) • AI&QA

👋 Hey there! 𝐖𝐞𝐥𝐜𝐨𝐦𝐞 𝐭𝐨 𝐀𝐈 & 𝐐𝐀 𝐀𝐜𝐜𝐞𝐥𝐞𝐫𝐚𝐭𝐨𝐫.

AI is changing Software Development. And it is changing QA with it.

QA Engineers who know how to use AI will:

⬩Deliver in days what used to take two weeks

⬩Do work that used to require deep expertise. With AI, basic knowledge can produce senior-level results

⬩Get instant AI feedback on tests, code, and debugging decisions

The same applies to Software Developers. AI multiplies their delivery speed. QA becomes the bottleneck. That's why companies are fighting to hire QA Engineers who can match that speed.

💡 In fact, as of early 2026, many companies started adding AI coding tasks to their interview process.

QA Engineers who ignore AI won't just fall behind, they risk losing their career entirely.

That's not doomsaying. In 2026, tech companies laid off 55,775 people (https://www.trueup.io/layoffs).

So, are those layoffs because AI is replacing people?

No.

AI is not replacing anyone. People who use AI are replacing people who don’t.

Unlike the transition from Manual Testing to QA Automation, which took a decade, this shift is happening fast. Capable AI Coding Agents only became real in late 2025. Just a few months later, the entire tech world had changed.

That's what this community is about.

It's for people who see this shift and understand that right now is not just a pivotal moment for them.

It's a short golden window to become one of the first truly AI-Powered QA Automation Engineers / SDETs and set yourself up for a long, safe, and extremely high-paying QA career.

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𝐀𝐛𝐨𝐮𝐭 𝐌𝐞, 𝐚𝐧𝐝 𝐰𝐡𝐲 𝐈 𝐚𝐦 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐭𝐡𝐢𝐬 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲

I'm 𝐌𝐚𝐭𝐯𝐢𝐲, a Vegas-based 𝐏𝐫𝐢𝐧𝐜𝐢𝐩𝐚𝐥 𝐒𝐃𝐄𝐓 with 𝟏𝟎+ 𝐲𝐞𝐚𝐫𝐬 𝐨𝐟 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞.

I’ve worked across startups and large enterprises, building QA automation frameworks and testing infrastructure across pretty much all modern stacks and tools.

In 2025 I introduced AI coding agents into my team's QA Automation workflows.

The team adopted it. Management noticed.

To get there, I spent $3,000+ of my own money. Not on theory, but on practice.

What to use. How to use it. When to use it.

That is why I built this community and the 𝐀𝐈 𝐂𝐨𝐝𝐢𝐧𝐠 𝐀𝐠𝐞𝐧𝐭𝐬 𝐟𝐨𝐫 𝐓𝐞𝐬𝐭 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐋𝐢𝐯𝐞 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩.

So you do not need to spend thousands of dollars and months figuring this out alone.

You can learn exactly what you need to become an AI-powered QA Automation Engineer in days.

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🎓 What Is the "AI AutoTest Workshop" ?

This is a hands-on, 3-session workshop (2 hours each) for QA Automation Engineers and SDETs who want to use AI coding agents to:

Set up AI-ready testing frameworks

Generate high-quality tests indistinguishable from human-written ones
Build reusable AI workflows for QA Automation

You will not get the generic theory. You can find it on YouTube.

You actually work inside Cursor and learn practical skills you can start using in your job after the first session.

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🗺️ 𝐖𝐡𝐞𝐫𝐞 𝐘𝐨𝐮 𝐀𝐫𝐞 𝐍𝐨𝐰 → 𝐖𝐡𝐞𝐫𝐞 𝐘𝐨𝐮'𝐥𝐥 𝐁𝐞 𝐀𝐟𝐭𝐞𝐫

Right now, most QA Engineers use AI like this:

» Ask a random question.

» Get a random answer.

» Paste it.

» Hope it works.

Essentially replacing Google with AI.

That is not a skill. That does not make you irreplaceable. That does not get you promoted or hired.

🎯 𝐓𝐡𝐢𝐬 𝐰𝐨𝐫𝐤𝐬𝐡𝐨𝐩 𝐢𝐬 𝐛𝐮𝐢𝐥𝐭 𝐭𝐨 𝐜𝐡𝐚𝐧𝐠𝐞 𝐭𝐡𝐚𝐭.

Here is exactly what is inside:

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𝐒𝐞𝐬𝐬𝐢𝐨𝐧 𝟏: AI Basics + Cursor for QA

LLM basics: tokens, context windows, and why AI sometimes gives bad answers
How to get better AI Coding output with clear context, constraints, and expectations
Choosing the right AI model for the task: GPT, Claude, Gemini, Grok, and others
AI Coding Agents overview: Cursor, Claude Code, Codex, Copilot, and Windsurf

Cursor for QA automation and when to use Ask, Agent, or Plan mode
Hands-on exercise with AI: improve an existing test, review the change, and identify a coverage gap

𝐒𝐞𝐬𝐬𝐢𝐨𝐧 𝟐: Controlling and Teaching your AI Agents

AI-generated test creation workflow
Writing an `AGENTS.md` file to make your repo AI-ready
How `AGENTS.md` reduces repeated prompting and makes the agent “smart”
Creating `SKILL.md` files for repeatable QA automation workflows
Hands-on exercise: Build an `AGENTS.md` file and a custom QA automation skill

𝐒𝐞𝐬𝐬𝐢𝐨𝐧 𝟑

⬩ How to use AI to generate new API tests: from contract discovery to ready-to-run tests

⬩ UI tests: use AI coding agents to find the best locators for you

⬩ What MCP is and when not to use it

⬩ Hands-on full AI workflow: spec → plan → execute → review → improve → commit

⬩ Bonus: how to use CodeRabbit as an extra review layer for AI-written test code

𝗛𝗮𝗻𝗱𝘀-𝗼𝗻 𝗣𝗿𝗼𝗷𝗲𝗰𝘁

⬩You will get a ready-to-use Python-based test framework for the hands-on part

𝗥𝗲𝘂𝘀𝗮𝗯𝗹𝗲 𝗔𝗿𝘁𝗶𝗳𝗮𝗰𝘁𝘀:

⬩ By the end, you will leave with a repeatable process and reusable AI agent config files you can drop into any repo and start using immediately.

If some of these words and terms are new to you, that is fine. You are not supposed to know all of this yet. That is what the workshop is for.

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📋 𝐖𝐡𝐚𝐭 𝐘𝐨𝐮 𝐍𝐞𝐞𝐝

∙ Basic programming knowledge

∙ Some experience with test automation

∙ Git (Github, Gitlab etc)

∙ Cursor Pro ($20/month) for the hands-on part

𝗡𝗢𝗧𝗘: It doesn’t matter which programming language or framework you know. AI coding agents take care of the implementation details, so you only need to know how to guide them effectively.

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📅 𝗛𝗼𝘄 𝘁𝗼 𝗝𝗼𝗶𝗻

➜ The price: $997

It includes the workshop itself + video recordng.

Since it is a live workshop, DM me for the next date.

Also add a link to your LinkedIn profile so I can quickly understand your background and see if the workshop is the right fit for you.

Watch the videos below for more information and customer testimonials.

P.S. Currently a Manual Tester and do not know test automation yet?

Check out this post, where you can learn what knowledge you need to go from Manual QA to QA Automation plus become qualified for the workshop.

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