Mikhail Portnov

If Your Team’s Moving Fast, Why Isn’t Your QA? Manual testing is the silent killer of release speed. It delays feedback, introduces errors, and forces you to choose between quality and velocity. Our eBook reveals the 5 signs your manual testing is holding you back—and how automation can turn your pipeline into a competitive advantage. Don’t let QA be the bottleneck. Get the eBook Now: https://ow.ly/ElgM50We25u #DevOps #SalesforceTesting #TestAutomation #AI

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This message is to all QA Professionals out there. It’s time to start speaking the language of CEO, CFO and COO. Too often, QA conversations revolve around defect counts, test cases executed, or coverage percentages. While these metrics matter to us, they rarely resonate with executives. C-level executives don't wake up thinking about how many bugs were caught. They care about: a. Money protected (savings, avoided costs) b. Risks reduced (compliance, brand, operational) c. Customers retained (loyalty, trust, satisfaction) This is the language of business. And unless QA professionals learn to translate their work into this language, our craft will always be undervalued and disrespected. That's where HIST (Human Intelligence Software Testing) comes in. HIST doesn’t just improve testing, it teaches you how to align your testing outcomes with business impact. It reframes QA as a strategic partner in protecting revenue, reducing risk and strengthening customer trust. The future of QA isn't in defect counts or AI Automation scripts generation stats. It’s in demonstrating how our work safeguards the business. HIST gives us the framework to do exactly that. Thoughts? To learn more about HIST register to the debate here -->To learn more about HIST register to the debate here -->https://lnkd.in/eQ8VH4Tk

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Everyone’s saying QA is dead. They’re wrong. It’s just being rebuilt by AI — quietly, powerfully, and permanently. This isn’t a debate about tools. It’s a transformation of how we think, test, and ship with confidence. Here’s how modern QA is evolving: – Tests are written by prompt – Root causes are explained, not guessed – Test data is smarter, contextual, fast – Only the tests that matter are run – AI spots bugs before the UI is even pushed – And automation feels like architecture — not repetition I’ve mapped the exact shift in this 8-slide guide👇 💬 What part of this AI evolution are you most excited about? #AIinQA #Playwright #TestAutomation #ModernTesting #SoftwareTesting #SDET #QATransformation #PromptEngineering #AutomationStrategy #EngineeringLeadership

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Here's why the number and type of defect don't matter and it's a crap metric. Humans cause a lot of crap, by design. It's how we learn. What tells me how well something works, or how healthy a system is: How long it takes to realize you've caused something "negative" to happen, and how long it takes to "clean up" or recover from that unwanted state. Everything else is just paperwork.

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QA is where good intentions go to die. 💀 It’s essential...but slow, expensive, and frustrating to scale. Traditional QA tools catch surface-level errors: typos, missing text, broken grammar. But they’re rigid. Want to change tone or domain? You’ll need to rewrite a mess of rules. Every time. That’s changing thanks to AI. New AI-powered QA tools don’t just ask “Is this correct?” They ask: 🧠 Does this reflect the source intent? 🗣️ Does it sound natural in the target language? 👥 Is it right for the audience? Even better? They adapt. Feed in your glossaries, preferences, or brand tone, and the system tunes itself. No more rule-writing marathons! 🎉 Human reviewers still have the final say, of course. But with AI as a first layer, teams get to move faster and cheaper. 👉 Watch the full discussion: https://hubs.la/Q03B8bCS0

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Most people think the magic in autonomous testing is the recording. You click around, the tool records your actions, boom - test created. But here’s the truth: Recording is the easy part. The hard part is knowing what to test in the first place. Ask any QA leader - half the battle is just identifying the scenarios worth testing. It’s slow, it’s manual, and it demands deep product intuition. That’s why the real “Aha!” moment with SaolaAI hits when users realize: “Wait… I don’t need to think about that anymore.” Saola automatically surfaces the most critical flows - the ones your users actually perform. You don’t guess. You don’t assume. You see. Then comes the second “Aha!”: All of it runs without breaking - even when your UI changes. Because our second AI model doesn’t just replay steps - It decides, in real time, how and when to act. Like a human would.

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The checkpoints of yesterday can’t guide the quality of tomorrow! Quality Engineering is moving beyond old boundaries. Are you ready for what’s next? Episode 5 of The Think QA Podcast, powered by SDET Tech, brings Tom Churchwell to the table to decode the future of QA, testing, and engineering excellence. Stay tuned, this one’s packed with insights you won’t want to miss. #SDETTech #ThinkQAPodcast #QualityEngineering #TechPodcast #QAFuture #QualityAssurance

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Playwright for Visual Regression Testing? 🎭 In the fast-paced world of web development, ensuring a flawless UI across different browsers and devices is crucial. That’s where Playwright steps in as a game-changer for visual regression testing! ✅ Why Visual Regression Testing? ✅ Detects layout shifts, broken UI elements, and CSS issues. ✅ Ensures your website’s content, layout & design remain intact after code changes. ✅ Saves time by automating visual checks across multiple browsers . With Playwright, you get speed, consistency, and historical insights to track UI changes effortlessly. Keep your designs pixel-perfect, always! https://lnkd.in/g5zqhMZH #Playwright #TestAutomation Playwright #AI TestGrid.io #testing #visualtesting #SoftwareTesting #QualityAssurance #SoftwareEngineer #TestAutomation Medium #Playwright #VisualTesting #Automation #QualityAssurance #TestingTools #WebTesting

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The latest addition to my Career Transition Series is now live! For QA engineers navigating the evolving landscape shaped by GenAI, this one's for you. Here's a sneak peek of what you'll find inside the article: - Discover real hiring signals sourced from LinkedIn, Indeed, and Naukri. - Explore the updated expectations for SDET roles. - Uncover the essential tools and technologies consistently sought after by companies. - Dive into how AI is revolutionizing QA workflows. - Gain insights into a practical 6-week up-skilling plan. - Get inspired with project ideas to showcase your expertise. Curious to learn more? Read the full article here: https://lnkd.in/gtdZg_bn If you or someone you know in the QA field is seeking guidance on their next career move, feel free to share this resource. Navigating transitions becomes smoother when we support each other's growth. #CareerTransition #QAEngineers

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Treating QA as “janitorial work” is your biggest bottleneck for 2026. The most persistent software testing problem isn’t flakiness or slowness — it’s the organizational failure to see testing as a strategic, continuous process. If testing is still viewed as a cost center, you’re missing the connection between software quality, customer satisfaction, brand reputation, and revenue. Read our 2026 QA trends blog post to learn about the three forces driving the shift from traditional quality assurance to continuous software quality intelligence. 👉 https://lnkd.in/eY7vzBpm #SoftwareTesting #QA #QualityEngineering #DevOps #EngineeringLeadership

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