Max Vershinin

Most QA engineers spend days (sometimes weeks) just setting up test environments. 🕒 By the time everything’s ready, the product’s already changed. What if setup was instant? That’s exactly what this webinar covers. You’ll see how AI can instantly understand your Playwright project, identify test cases, and generate stable, production-ready tests in minutes. Plus, you’ll learn how to integrate them directly into your CI/CD workflow without rewriting your existing setup. Join our webinar with Tal Barmeir, Sapnesh Naik, and Rebecca Villalba from BlinqIO. 👇👇👇 https://lnkd.in/eT8AKgwN #ai #multilingual #testing #qa #blinqio #autonomous #ttm #aitestengineer #vibetesting #aitesting #softwaretesting #TestGuildWebinar #WorkWithTestGuild

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💸 QA eats up to 40% of your dev budget. We cut $4K per engineer/month with AI agents. Here’s how. 👇 Manual testing drains time and money. Legacy QA automation tools promised savings but came with hidden costs and constant human oversight. We built a multi-agent AI QA system that: ✅ Cuts regression cycles ✅ Reduces errors by 98% with self-healing ✅ Saves $2.5K–$4K per engineer monthly 📄 Explore the full case study to see how Treegress did it (and what you can replicate).

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Software testing comes with its fair share of misconceptions. In this video Danny, our tester, shares three common QA myths from his perspective and why the reality of testing is often different. Sometimes the most interesting insights come directly from the people doing the testing. Which QA myth have you heard the most?

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When a bug hits production, the whole team wears it. It’s easy to point fingers when something slips through. But here’s the truth: Great QA doesn't work in isolation. It’s not a magical safety net at the end of the pipeline. Even the best testers can’t prevent bugs if they’re left out of product discussions, if requirements are vague, or if timelines force testing into a corner. Quality is not a QA job. It’s a shared responsibility. - Developers need time and space to write testable, maintainable code. - Product managers need to align on clear, testable requirements. - QA needs visibility, context, and the ability to ask “what if?” If any part of that loop breaks, quality suffers. Not because someone didn’t work hard enough, but because quality was treated like a role, not a value. Want fewer bugs in production? Treat QA as part of the conversation, not just the checkpoint. 🛠 Quality is cross-functional. Always. #SoftwareTesting #QualityAssurance #AgileTesting #TeamCulture #DevOps #BugHunting #ProductDevelopment #QA

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Test automation shouldn’t break every time your app changes. Yet most QA teams still spend hours fixing scripts instead of testing experiences. We’re excited to introduce 𝗔𝗖𝗘 𝗯𝘆 HeadSpin, an upcoming Generative AI-powered intelligence layer for software testing. 𝗔𝗖𝗘 dynamically captures the UI DOM, generates executable test scripts from simple instructions, and automatically adapts to changes in interfaces. The result? Less maintenance. More stable automation. Faster releases on real devices and live networks. More details coming soon. Read the full press release here: https://lnkd.in/gXnB8dAr #ACEbyHeadSpin #HeadSpin #GenerativeAI #AITesting #TestAutomation #SoftwareTesting #QualityAssurance #DevOps #RealDeviceTesting #DigitalExperience #QAInnovation #EnterpriseTesting

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We’ve automated so much of testing already, but somehow, it still feels… manual. 🤔 Scripts need fixing, tests need rerunning, and someone always has to double-check the results. That’s why a new, more adaptive approach is starting to change how QA works. It learns, adjusts, and makes testing more independent. In our new article, we examined what makes Agentic AI testing different, the real benefits teams see, and how you can start using it too. Take a look: https://lnkd.in/d_NjqQjS #qamadness #softwaretesting #qa #testautomation #AI #AgenticAI

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😱 “Can QA just quickly approve this?” In their minds, QA is a straight line: ➡️ Send document ➡️ Get approval ➡️ Move on Nice. Simple. And completely fictional. Because the real QA path isn’t a straight shot from A to B. It’s a series of well considered steps. i Before anything gets the seal of approval from QA, someone has already mentally walked through a whole chain of questions: 🤔 What is this really changing, and why now? 🤔 What does this touch — process, equipment, risk, training, validation, suppliers? 🤔 Does this clash with an existing SOP, WI, or form somewhere else in the system? 🤔 If an auditor asks “show me the story behind this,” will the evidence make sense? We’re not “being difficult.” We’re just trying to make sure today’s quick win doesn’t become tomorrow’s deviation, recall, or regulatory slip up. Good QA work can often appear invisible because the bad thing… never happens. No batch failure. No deviation. No “how did this get approved?” email. No warning letters. Just a quiet system that keeps functioning, safely, for patients and for the business. So when somebody says, “Can you just quickly approve this?”, we chuckle. Not because it’s really that funny. No, (it’s really not very funny.) But because the contrast between the straight line in their head and the reality of the carefully connected line QA is drawing is, let’s say… striking. Yes, it’s not as simple as a single straight line. But it’s this line that connects today’s shortcut to tomorrow’s consequence. It’s this line that chooses patient safety and long-term quality instead of quick wins. 💭 What’s one thing you wish people knew about what it really takes for QA to approve something? Share it below and help demystify that squiggly line 👇

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