I wrote in my book Navigating Testing and Quality Assurance that AI wouldn’t replace testers—it would transform testing. That’s exactly what we’re seeing today.
If you want to learn both testing with AI and testing AI systems, check out this hands-on workshop by Igor Dorovskikh and Artem Bondar:
To every developer shipping features late into the night, every QA catching that one last bug, and every new Playwright learner stepping into automation — thank you. You’re the reason products stay usable, reliable, and stable.
May this season bring:
✅ fewer flaky tests and more consistent green runs
✅ code reviews that teach, not roast
✅ teams that value quality - not just speed
And enough quiet time to remember why building (and testing) software mattered to you in the first place.
Merry Christmas - and steady wins in the year ahead. 🎄✨
I’ve been in QA long enough to notice a pattern. When people say testing, they often mean finding bugs.
But that’s not how it is in real life. In my book "Navigating Testing and Quality Assurance" a.co/d/0fPHT3T, I wrote my own definition based on what I kept seeing in projects:
"As I see it, testing is more than just finding bugs, it is a process of improving product quality, ensuring compliance with requirements and regulations, and delivering a product that meets or exceeds user expectations."
That didn’t come from a textbook. That came from shipping software and seeing what actually matters.
Because the best testing work I’ve done wasn’t just logging defects, it was:
- stopping failures before they hit production
- surfacing risks early (before they become expensive surprises)
Ilya Sutskever, one of the people who proved that “just scale it” works in AI, now says the scaling era is over. Current models are insanely good on benchmarks but generalize far worse than humans, which hints we hit an architectural ceiling, not just a compute limit. His new $3B company, SSI, is betting that 5–20 years from now, human-like learners will come from new research ideas, not the biggest GPU cluster.
Need more vibe coding angry birds flying in the picture. Also AI should be inserted under aws, cloudflare, azure with all the outages in last two months.
alexusadays
Serverless just means your code runs one someone else’s server 🤷♂️
#qa #testing #qualityassurance
1 day ago (edited) | [YT] | 4
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alexusadays
My new book is officially out on Amazon:
a.co/d/04lYOvjt
1 week ago | [YT] | 5
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alexusadays
The future of testing is here.
I wrote in my book Navigating Testing and Quality Assurance that AI wouldn’t replace testers—it would transform testing. That’s exactly what we’re seeing today.
If you want to learn both testing with AI and testing AI systems, check out this hands-on workshop by Igor Dorovskikh and Artem Bondar:
university.engenious.io/events/playwright-and-ai-t…
The tools are changing fast, but the fundamentals of testing are more important than ever.
#SoftwareTesting #QA #Playwright #AITesting #AI #TestAutomation
2 weeks ago | [YT] | 9
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alexusadays
New video is out:
https://www.youtube.com/watch?v=zQnNQ...
US government directive to suspend access to Fable 5 and Mythos 5
1 month ago | [YT] | 4
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alexusadays
I just turned on my community on this channel :)
Not even sure what it does, but go ahead give it a try
3 months ago | [YT] | 11
View 1 reply
alexusadays
To every developer shipping features late into the night, every QA catching that one last bug, and every new Playwright learner stepping into automation — thank you. You’re the reason products stay usable, reliable, and stable.
May this season bring:
✅ fewer flaky tests and more consistent green runs
✅ code reviews that teach, not roast
✅ teams that value quality - not just speed
And enough quiet time to remember why building (and testing) software mattered to you in the first place.
Merry Christmas - and steady wins in the year ahead. 🎄✨
#Playwright #TestAutomation #SoftwareTesting #QualityEngineering #QA #Developers #Automation #EngineeringLife #MerryChristmas
6 months ago | [YT] | 12
View 2 replies
alexusadays
I’ve been in QA long enough to notice a pattern. When people say testing, they often mean finding bugs.
But that’s not how it is in real life. In my book "Navigating Testing and Quality Assurance" a.co/d/0fPHT3T, I wrote my own definition based on what I kept seeing in projects:
"As I see it, testing is more than just finding bugs, it is a process of improving product quality, ensuring compliance with requirements and regulations, and delivering a product that meets or exceeds user expectations."
That didn’t come from a textbook. That came from shipping software and seeing what actually matters.
Because the best testing work I’ve done wasn’t just logging defects, it was:
- stopping failures before they hit production
- surfacing risks early (before they become expensive surprises)
- confirming we’re meeting requirements + compliance constraints
- protecting user trust
Then recently I read "Taking Testing Seriously" a.co/d/3J7J47g and this line hit me:
"Testing is the process of evaluating a product by learning about it through experiencing, exploring, and experimenting with it."
And I was like… yep. That’s the missing piece.
My definition is the WHY.
That quote is the HOW.
Put them together and you get the full picture:
WHY: quality, compliance, user expectations, confidence
HOW: learn the product by exploring, experimenting, and experiencing it
That’s the mindset shift I wish more teams made:
Testing isn’t only about the "bug hunt".
Testing is risk-driven learning that helps teams ship quality products.
How do you define testing in one sentence?
#softwaretesting #qualityassurance #qa #testing
6 months ago (edited) | [YT] | 14
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alexusadays
I must say I enjoy this thumbnail a bit too much 🤣
https://www.youtube.com/watch?v=eDh92...
7 months ago | [YT] | 7
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alexusadays
Ilya Sutskever, one of the people who proved that “just scale it” works in AI, now says the scaling era is over. Current models are insanely good on benchmarks but generalize far worse than humans, which hints we hit an architectural ceiling, not just a compute limit. His new $3B company, SSI, is betting that 5–20 years from now, human-like learners will come from new research ideas, not the biggest GPU cluster.
#AI #AGI #AIResearch #ScalingLaws #FutureOfAI #IlyaSutskever #SafeSuperintelligence
Source: www.implicator.ai/ilya-sutskever-declares-the-scal…
7 months ago | [YT] | 2
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alexusadays
Need more vibe coding angry birds flying in the picture. Also AI should be inserted under aws, cloudflare, azure with all the outages in last two months.
#ai #testing #qa
7 months ago | [YT] | 7
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