๐ Hey there! ๐๐๐ฅ๐๐จ๐ฆ๐ ๐ญ๐จ ๐๐ & ๐๐ ๐๐๐๐๐ฅ๐๐ซ๐๐ญ๐จ๐ซ.
AI is changing Software Development. And it is changing QA with it.
QA Engineers who know how to use AI will:
โฌฉDeliver in days what used to take two weeks
โฌฉDo work that used to require deep expertise. With AI, basic knowledge can produce senior-level results
โฌฉGet 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.
๐ก 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.
So, are those layoffs because AI is replacing people?
No.
AI is not replacing anyone. People who use AI are replacing people who donโt.
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.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐๐๐จ๐ฎ๐ญ ๐๐, ๐๐ง๐ ๐ฐ๐ก๐ฒ ๐ ๐๐ฆ ๐๐ฎ๐ข๐ฅ๐๐ข๐ง๐ ๐ญ๐ก๐ข๐ฌ ๐๐จ๐ฆ๐ฆ๐ฎ๐ง๐ข๐ญ๐ฒ
I'm ๐๐๐ญ๐ฏ๐ข๐ฒ, a Vegas-based ๐๐ซ๐ข๐ง๐๐ข๐ฉ๐๐ฅ ๐๐๐๐ with ๐๐+ ๐ฒ๐๐๐ซ๐ฌ ๐จ๐ ๐๐ฑ๐ฉ๐๐ซ๐ข๐๐ง๐๐.
Iโve 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 ๐๐ ๐๐จ๐๐ข๐ง๐ ๐๐ ๐๐ง๐ญ๐ฌ ๐๐จ๐ซ ๐๐๐ฌ๐ญ ๐๐ฎ๐ญ๐จ๐ฆ๐๐ญ๐ข๐จ๐ง ๐๐ข๐ฏ๐ ๐๐จ๐ซ๐ค๐ฌ๐ก๐จ๐ฉ.
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.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ What Is theย ๐๐ ๐๐จ๐๐ข๐ง๐ ๐๐ ๐๐ง๐ญ๐ฌ ๐๐จ๐ซ ๐๐๐ฌ๐ญ ๐๐ฎ๐ญ๐จ๐ฆ๐๐ญ๐ข๐จ๐ง ๐๐ข๐ฏ๐ ๐๐จ๐ซ๐ค๐ฌ๐ก๐จ๐ฉ ?
This is a hands-on, 2-session workshop (2 to 2.5 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.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐บ๏ธ ๐๐ก๐๐ซ๐ ๐๐จ๐ฎ ๐๐ซ๐ ๐๐จ๐ฐ โ ๐๐ก๐๐ซ๐ ๐๐จ๐ฎ'๐ฅ๐ฅ ๐๐ ๐๐๐ญ๐๐ซ
Right now, most QA Engineers use AI like this:
ยป Ask a random question.
ยป Get a random answer.
ยป Paste it.
ยป 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.
๐ฏ ๐๐ก๐ข๐ฌ ๐ฐ๐จ๐ซ๐ค๐ฌ๐ก๐จ๐ฉ ๐ข๐ฌ ๐๐ฎ๐ข๐ฅ๐ญ ๐ญ๐จ ๐๐ก๐๐ง๐ ๐ ๐ญ๐ก๐๐ญ.
Here is exactly what is inside:
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐๐๐ฌ๐ฌ๐ข๐จ๐ง ๐
โฌฉ What an LLM is: tokens, context windows, and why AI can become dumb (and what to do to avoid it)
โฌฉ LLM models (GPT, Opus, Sonnet, etc.) and how to choose the right one for each task
โฌฉ Using Cursor for QA Automation work
โฌฉ Running AI Coding Agents in the right mode: Ask, Plan, and Agent
โฌฉ Writing an "AGENTS.md" file so the agent knows your repoโs rules, tech stack, and conventions
โฌฉ Finding test coverage gaps with AI coding agents and getting the agent to fix them for you
๐๐๐ฌ๐ฌ๐ข๐จ๐ง ๐
โฌฉ How to create "SKILL.md" files that teach the agent new knowledge
โฌฉ 3-step AI workflow for creating tests: plan, review, and execute
โฌฉ How to use Cursor to generate new API tests
โฌฉ UI tests: how to capture page elements with Cursor browser tools and turn them into a locator list
โฌฉ What is MCP and how it works
โฌฉ Bonus: how to use CodeRabbit as an extra review layer on AI-written test code
๐๐ฎ๐ป๐ฑ๐-๐ผ๐ป ๐ฃ๐ฟ๐ผ๐ท๐ฒ๐ฐ๐
โฌฉYou will get a ready-to-use Python-based test framework for the hands-on part
๐ฅ๐ฒ๐๐๐ฎ๐ฏ๐น๐ฒ ๐๐ฟ๐๐ถ๐ณ๐ฎ๐ฐ๐๐:
โฌฉ 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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๐ ๐๐ก๐๐ญ ๐๐จ๐ฎ ๐๐๐๐
โ Basic programming knowledge
โ Some experience with test automation
โ Git (Github, Gitlab etc)
โ Cursor Pro ($20/month) for the hands-on part
๐ก๐ข๐ง๐: It doesnโt 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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๐
๐๐ผ๐ ๐๐ผ ๐๐ผ๐ถ๐ป
Since it is a live workshop, the dates are not set, DM Matviy for the next date and price. If available, also include a link to your LinkedIn profile so I can quickly understand your background and see if the workshop is the right fit for you.
P.S. Currently a Manual Tester and do not know programming or 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.