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👋 Hey there! 𝐖𝐞𝐥𝐜𝐨𝐦𝐞 𝐭𝐨 𝐀𝐈 & 𝐐𝐀 𝐀𝐜𝐜𝐞𝐥𝐞𝐫𝐚𝐭𝐨𝐫 community. If you want the fastest answer on where to start, use the path that fits you now. 𝟏. 𝐘𝐨𝐮 𝐚𝐥𝐫𝐞𝐚𝐝𝐲 𝐤𝐧𝐨𝐰 𝐩𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐚𝐧𝐝 𝐭𝐞𝐬𝐭 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐀𝐈 𝐀𝐮𝐭𝐨𝐓𝐞𝐬𝐭 𝐋𝐢𝐯𝐞 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩 - This path is for QA automation engineers and SDETs who want to use AI coding agents in real workflows. Read that post if you want the full workshop details. 󠀠 󠀠 󠀠 𝟐. 𝐘𝐨𝐮 𝐚𝐫𝐞 𝐚 𝐦𝐚𝐧𝐮𝐚𝐥 𝐭𝐞𝐬𝐭𝐞𝐫 𝐦𝐨𝐯𝐢𝐧𝐠 𝐢𝐧𝐭𝐨 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐐𝐀 𝐀𝐮𝐭𝐨𝐓𝐞𝐬𝐭 𝐀𝐜𝐜𝐞𝐥𝐞𝐫𝐚𝐭𝐨𝐫 - This path is for people who still need the foundations: programming, Playwright, framework building, and job-ready automation skills. Start with the course here
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AI Coding Agents: 𝐀𝐈 𝐀𝐮𝐭𝐨𝐓𝐞𝐬𝐭 𝐋𝐢𝐯𝐞 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩
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. ──────────────────────────────────────── 𝐀𝐛𝐨𝐮𝐭 𝐌𝐞, 𝐚𝐧𝐝 𝐰𝐡𝐲 𝐈 𝐛𝐮𝐢𝐥𝐭 𝐀𝐈 𝐀𝐮𝐭𝐨𝐓𝐞𝐬𝐭 𝐋𝐢𝐯𝐞 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩 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.
AI Coding Agents: 𝐀𝐈 𝐀𝐮𝐭𝐨𝐓𝐞𝐬𝐭 𝐋𝐢𝐯𝐞 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩
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📌 Course: QA AutoTest Accelerator. Go From Manual QA to SDET in 3 Months
𝐓𝐡𝐞 𝐐𝐀 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐆𝐚𝐩 𝐍𝐨𝐛𝐨𝐝𝐲 𝐓𝐚𝐥𝐤𝐬 𝐀𝐛𝐨𝐮𝐭 ⤷ You've finished another online course ⤷ You understand a Testing Framework ⤷ You've built a few test scripts, maybe even completed a portfolio project But when you look at job postings asking for "2+ years of QA Automation experience," you freeze. 𝐓𝐮𝐭𝐨𝐫𝐢𝐚𝐥 𝐤𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐢𝐬𝐧’𝐭 𝐭𝐡𝐞 𝐬𝐚𝐦𝐞 𝐚𝐬 𝐣𝐨𝐛-𝐫𝐞𝐚𝐝𝐲 𝐬𝐤𝐢𝐥𝐥𝐬. 𝐀𝐧𝐝 𝐞𝐦𝐩𝐥𝐨𝐲𝐞𝐫𝐬 𝐤𝐧𝐨𝐰 𝐢𝐭 𝐭𝐨𝐨. ──────────────────────────────────────── 🚩 𝐖𝐡𝐚𝐭’𝐬 𝐀𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐌𝐢𝐬𝐬𝐢𝐧𝐠: The gap between “𝐈 𝐥𝐞𝐚𝐫𝐧𝐞𝐝 𝗦𝗢𝗠𝗘 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧” and “𝐈 𝐜𝐚𝐧 𝐝𝐨 𝐭𝐡𝐢𝐬 𝐣𝐨𝐛” comes down to 3 things: ❶ Structured, real-world training that goes beyond basics. ≫ Most courses teach tools. They don't teach you how to think like an SDET and QA Automation Engineer, build frameworks from scratch, or integrate CI/CD pipelines the way companies actually use them. ❷ Proof of competency that employers trust. ≫ Saying "I know Playwright" on your resume means nothing without verified credentials. Employers need tangible evidence you can do the work. 📌 𝐓𝐡𝐚𝐭’𝐬 𝐰𝐡𝐲 𝐈 𝐛𝐮𝐢𝐥𝐭 𝐐𝐀 𝐀𝐮𝐭𝐨𝐓𝐞𝐬𝐭 𝐀𝐜𝐜𝐞𝐥𝐞𝐫𝐚𝐭𝐨𝐫 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠: 𝐀 𝐜𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐜𝐨𝐮𝐫𝐬𝐞 𝐭𝐡𝐚𝐭 𝐜𝐨𝐦𝐛𝐢𝐧𝐞𝐬 𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞𝐝 𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐯𝐞𝐫𝐢𝐟𝐢𝐞𝐝 𝐜𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐭𝐡𝐚𝐭 𝐭𝐚𝐤𝐞𝐬 𝐲𝐨𝐮 𝐟𝐫𝐨𝐦 𝐳𝐞𝐫𝐨 𝐭𝐨 𝐣𝐨𝐛-𝐫𝐞𝐚𝐝𝐲 𝐦𝐢𝐝-𝐥𝐞𝐯𝐞𝐥 𝐒𝐃𝐄𝐓 𝐨𝐫 𝐐𝐀 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐢𝐧 𝟐–𝟑 𝐦𝐨𝐧𝐭𝐡𝐬 𝐇𝐞𝐫𝐞’𝐬 𝐇𝐨𝐰 𝐈𝐭 𝐖𝐨𝐫𝐤𝐬 ──────────────────────────────────────── 🎓 𝐓𝐡𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠: 𝐐𝐀 𝐀𝐮𝐭𝐨𝐓𝐞𝐬𝐭 𝐀𝐜𝐜𝐞𝐥𝐞𝐫𝐚𝐭𝐨𝐫 Three volumes that take you from fundamentals to job-ready: - Volume 1: QA Automation & DevOps Fundamentals + Git + GitHub CI/CD - Volume 2: Python + Playwright + Framework Building + CI/CD Integration - Volume 3: Job Search, Resume & LinkedIn Strategies, Interview Prep (Behavioral + Technical + Coding) It's a career transformation course designed around what companies actually hire for. ✅ 𝐓𝐡𝐞 𝐏𝐫𝐨𝐨𝐟: 𝐕𝐞𝐫𝐢𝐟𝐢𝐞𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐞 𝐨𝐟 𝐂𝐨𝐦𝐩𝐥𝐞𝐭𝐢𝐨𝐧 - Unique verification ID for your resume and LinkedIn - Direct employer verification - Legitimate, searchable proof of your expertise ──────────────────────────────────────── 𝐓𝐡𝐞 𝐌𝐚𝐭𝐡 QA Automation Engineers and SDETs earn double what manual testers make on average.
📌 Course: QA AutoTest Accelerator. Go From Manual QA to SDET in 3 Months
How to Make Playwright CLI Write UI Tests For You
Here is the full workflow that turns Playwright CLI + an AI coding agent into a system that can write UI tests for you. It works with Cursor, Claude Code, Codex, or any agent you have. ──────────────────────────────────────── 🟢 𝐓𝐡𝐞 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐚𝐥 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰 ➤ Step 1. Explore the test case with Playwright CLI You give the agent a real test case with the steps and validations: ∙ What user flow to cover ∙ What URL to start from ∙ What success looks like ∙ What data or credentials to use (or where to find them in the repo) The agent uses Playwright CLI to walk through that flow in the browser: ∙ `open` the starting page ∙ `snapshot` to read what is on screen ∙ `click`, `fill`, and navigate step by step ∙ `snapshot` again after each meaningful action The Agent is exploring the app the same way a human tester would, but faster, and with structured output, a.k.a it generates a file with it's findings. ➤ Step 2. You review. When exploration finishes, the Agent should produce a short exploration document. Something you can read and review. It should include: ∙ Pages visited and the order of steps ∙ Locators or element refs that worked ∙ Form fields, buttons, and links involved ∙ Assertions the Agent observed (visible text, URL changes, success messages) ∙ Anything ambiguous or blocked (login wall, captcha, missing test data) 𝐘𝐨𝐮 𝐫𝐞𝐯𝐢𝐞𝐰 𝐭𝐡𝐢𝐬 𝐛𝐞𝐟𝐨𝐫𝐞 𝐚𝐧𝐲 𝐭𝐞𝐬𝐭 𝐜𝐨𝐝𝐞 𝐢𝐬 𝐰𝐫𝐢𝐭𝐭𝐞𝐧. ➤ Step 3. The Agent generates UI tests Now the agent writes code. It uses two inputs: 1. The exploration document from Step 2 2. Your existing test framework. Folder structure, page objects, fixtures, naming conventions, helper methods Playwright CLI does not replace your framework. It feeds facts into it. Same workflow whether you use Playwright Test, Selenium, Cypress, or something else. The exploration layer is shared. The test code layer is yours. ➤ Step 4. The Agent runs the tests. The agent runs the new test (or the relevant suite). If it passes —> done. If it fails —> the agent goes back to Playwright CLI:
How to Make Playwright CLI Write UI Tests For You
How Playwright CLI works
──────────────────────────────────────── 🟢 𝐖𝐡𝐚𝐭 𝐑𝐮𝐧𝐬 𝐖𝐡𝐞𝐧 𝐘𝐨𝐮 𝐨𝐫 𝐚𝐧 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭 𝐓𝐲𝐩𝐞 𝐚 𝐂𝐨𝐦𝐦𝐚𝐧𝐝 1. You or your AI agent type a command in the terminal. 2. Playwright CLI reads it and opens the browser. It can run in headed mode (you see the window) or headless (no UI). 3. After the browser opens and the page loads, Playwright CLI takes a snapshot of the page. The snapshot is a small `.md` file with page details, including locators. 4. You or the AI agent read the snapshot and decide what to do next. If it shows a Login button, you see its accessibility ID (often something like `e10` or `e12`). Then you run a command such as `playwright-cli click e10` to click it. That is the workflow in a nutshell: Step 1 — load the web page Step 2 — get a snapshot of it Step 3 — act on the snapshot information Playwright CLI does not replace Playwright, Selenium, or Cypress. It is a different tool that sits on top of them. ──────────────────────────────────────── 👁 𝐇𝐞𝐚𝐝𝐞𝐝 𝐯𝐬 𝐇𝐞𝐚𝐝𝐥𝐞𝐬𝐬 Playwright CLI can open browsers in two modes: headed and headless. Headed mode shows the browser on your screen. Use it when you set up the tool or when you need to see what happened. Headless mode runs without a window. It is faster for repeat runs, but harder to watch. Some failures only show up in one mode. If a command fails in headless, try headed once before you change the test. ──────────────────────────────────────── 📌 Want hands-on practice with the AI workflows for test automation? Join the AI AutoTest Live Workshop — live theory, practice, and real agent workflows for test automation. 👉 Click here to read more: https://www.skool.com/qa-automation-career-hub/welcome-to-qa-automation-roadmap-lab-start-here
How Playwright CLI works
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