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.
https://t.co/ibKNH6WquE
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: https://t.co/BtNnevNT3O
#Playwright#Automation#SDET
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: https://t.co/lMw96W76LD
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: https://t.co/4xKr6yLlpL
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.
https://t.co/bMLIT69MV7
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: https://t.co/67vNlzZGUY
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: https://t.co/lMw96W76LD
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. 👇
https://t.co/uas8W0umoK
#AIinQA#TestAutomation
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 👉 https://t.co/lMw96W76LD
Your Playwright migration will fail if you don’t unlearn legacy Selenium patterns.
Join Renata Andrade on June 4th for live code comparisons and a strategic POC plan.
Register: https://t.co/bU6DQnrSqr
#Playwright#Selenium#SDET
If you're focused on volume, you're missing the entire point of quality engineering.
@techgirl1908 reveals the missing half of the AI testing equation: what the real key to confidence is, and why generating tests is only half the battle.
Catch up now: https://t.co/VDlcSBO97S
Moving from #Selenium to #Playwright?
It’s more than a syntax swap—it’s an architectural shift.
Join Renata Andrade and learn how to:
✅ Reduce flakiness with auto-waiting
✅ Catch UI bugs functional tests miss
✅ Scale without maintenance debt
https://t.co/aEnjnFP4A5
If you're building agentic QA systems, you need to understand this fundamental truth: Autonomy only works when the results are reliable enough to act on.
@techgirl1908 and Anand Sundaram will discuss this today. Join live or register for the recording.
https://t.co/4xKr6yLlpL
TOMORROW—Join us for a grounded look at how teams are adapting as the focus shifts from writing tests to trusting results and what it takes to make AI-driven testing work.
https://t.co/4xKr6yLlpL
Your AI agent can ship passing tests and a broken UI at the same time. Nobody’s talking about it.
We’re excited to announce Adam Carmi as a speaker at Testing Talks Conference Sydney, Thursday, 6th August 2026!
https://t.co/6wA9NDJ2xA
#TestingTalksConference
"The more I work with agents, the more I'm convinced that 'just give it more context' can't be the whole answer. I'm not seeing enough discourse about memory." - @techgirl1908
Join us to hear what else she has to say about trustworthy AI-driven testing.
https://t.co/uzNiafBPqK
AI can generate tests from plain English, but that doesn’t mean it can run them reliably.
⏰ Today, Adam Carmi breaks down why and what needs to change at the execution layer.
Join live or watch on-demand >> https://t.co/2GRNzl6NN3
If your LLM-driven tests aren’t running consistently as you scale, you’re not alone—we’re seeing this across teams.
In tomorrow’s webinar, Adam Carmi breaks down why execution becomes unreliable and what to rethink.
Join live or watch on-demand >>
https://t.co/DYwRH8ugEH
Same test, different results?
Adam Carmi will walk through why LLM-based tests don’t always execute consistently—and what needs to change.
Register here: https://t.co/2GRNzl6NN3
Can’t make it live? Register and we’ll send the recording.
🌶️ Hot take: just because agents can easily generate tests doesn't mean they're any good.
In fact, I still spend quite a bit of human effort ensuring that my tests are trustworthy, as these are my guardrails for current and future quality.
I'm curious... how much do you trust AI generated tests?
Can't wait to discuss this with Anand Sundaram, CEO of @Applitools
Join us! https://t.co/5NEDkichf7