Joined July 2013
4,509 Photos and videos
AI can write tests fast, but it can't write your Quality Strategy. The essential "thinking"—why and what you test—is still human-owned. @techgirl1908 on the necessary shift from test author to Quality Strategist. Watch now! bit.ly/43npxcL #QualityStrategy #Engineering
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Ready to stop manual testing on your next CMS migration? Discover how deterministic AI and automated maintenance can streamline your workflow. Join our session on June 17 where we break down the exact strategies for ensuring visual accuracy at scale. bit.ly/4v45Wum
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Testing demands absolute reliability, but LLMs operate on statistical guessing. How do you square this fundamental conflict? @Anand reveals why the non-deterministic nature of AI is the biggest challenge for quality teams relying on predictable outcomes. bit.ly/4auTxqO
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🖥️ How do you maintain visual accuracy when migrating thousands of pages? We’re sharing a cross-browser, cross-device framework to make your next migration seamless. June 17. Don't miss it. bit.ly/4euZMNN
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AI speed is meaningless if it doesn't build trust. Are you confusing test activity with actual product assurance? Stop focusing on test count. Angie Jones on the real key to confidence. 👇 Watch the on-demand recording! bit.ly/4ogNbRu #AITesting #QualityEngineering
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CMS migrations shouldn't break the customer experience. Learn how to automate visual validation and skip the QA bottleneck. Join Tim Hinds on June 17 for a deep dive into Visual AI strategies. Sign up here 🔽 bit.ly/4euZMNN
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Probabilistic LLMs guarantee flakiness. A Deterministic Language Model (DLM) is the solution. Learn how the DLM executes plain English test steps reliably, allowing you to completely decouple test logic from brittle UI locators forever. youtu.be/h3H7y4m86pc
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The pressure to adopt AI is high, but handing over responsibility without a solid validation layer is risky. According to Angie Jones, you could just be scaling up your existing mistakes. Hear more of the conversation >> bit.ly/4u5Xf10
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Your Playwright migration will fail if you don’t unlearn legacy Selenium patterns. TODAY—Renata Andrade walks through a live code comparisons and a strategic POC plan. Join the live event or register to get recording: bit.ly/3RUv2wM #Playwright #Selenium #SDET
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Every LLM output is a random selection of the most probable token. This technical design is the root cause of non-reproducible bugs and flakiness in test execution. youtu.be/qr2sbywkKfg
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Cut your test code in half. ✂️ See Playwright vs. Selenium code side-by-side. This Thursday, Renata Andrade shows how Playwright built-ins eliminate boilerplate & fix flakiness for good. Join live or get the recording: bit.ly/3RnSFxG #Playwright #Automation #SDET
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The #1 Rule for Scaling Automation: Test execution must be deterministic. Same input. Always the same, reproducible output. Watch the full episode for a clear, concise explanation of the deterministic model: bit.ly/49QJ3Sn
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Everyone is focused on the speed of AI testing, but who is tracking the cost? Anand Sundaram flags the inevitable demand for ROI as the next major headache for teams relying on LLMs. Catch the full discussion in the on-demand recording: bit.ly/4woH0yB
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Tomorrow is the last day to participate in the @TestAutomationU Community Survey and help shape what comes next. If you've not shared your perspective, please take 6 minutes now to tell us what you want to learn and how #TAU could help you improve. bit.ly/4unN8FR
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Focus on shipping code, not fixing test flake. 🎯 Learn how to leverage native #Playwright built-ins like auto-waiting and fixtures to build scalable, reliable tests right into your dev pipeline. Join the live event or register to watch on-demand: bit.ly/3RUv2wM
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If the same test intent generates two different execution paths, you're wasting time debugging LLM randomness, not product bugs. Stop debugging inconsistent execution and learn about the deterministic stack that solves it. Watch full episode: bit.ly/49QJ3Sn
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Scaling AI on a shaky foundation? You're just scaling your mistakes. Angie Jones warns: Before you hand over responsibility, ensure your validation layer is trustworthy. Time to slow down & strategize. Full session below. 👇 bit.ly/4dCqB0Z #AIinQA #TestAutomation
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Plausibility ≠ Correctness. LLMs use statistical guesswork to find the most plausible token output, leading to execution failures. This is why your AI-generated tests are inconsistent and your debugging sessions are non-reproducible. See More 👉 bit.ly/49QJ3Sn
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