Software testing agency - Helping businesses attain impeccable software quality Since 2015

Joined April 2016
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15 May 2024
🏆 QAwerk is proud to be recognized as one of the top service companies in the world by being on IAOP’s Global Outsourcing 100 list (@IAOP). But what does this award mean, and why is it so important in our industry? 👉 Check out our latest article: bit.ly/iaop-global-outsourci…
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Jun 13
AI agents aren't efficient. they're just spending faster than you can notice. no cost awareness. no deduplication. no memory. just brute-force API calls until the task is done. your cloud bill is the first alert you'll get. that's too late.
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May 30
EPAM just trademarked "Agentic QA™" trademarking a concept not a method not a tool bugs don't care about the brand.
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May 27
ai cx is bleeding customers rn more automation != better service fix: route angry users to humans immediately de-automate cancellations train on empathy, not FAQs wild how fixable this is.
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May 26
everyone asks "will AI replace QA engineers" wrong question the real one: will QA engineers who use AI replace those who don't yes. already happening.
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May 26
"best AI agents for software testing in 2026" none of these lists tell u which ones actually hold up past week one stop reading rankings start running them on your real codebase that's the only benchmark that matters
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May 26
ai hallucinations aren't errors. they're synthetic facts that look correct, get stored in your knowledge base, and poison every AI query that reads them next. no anomaly detection catches this. that's the actual problem.
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May 26
everyone's calling AI testing a "revolution" not wrong but also: AI generates bad tests faster if the engineer doesn't know what to test the tool is only as smart as the person using it garbage in, garbage out — just quicker now
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Apr 23
everyone talks about AI in testing as a productivity story nope it's a visibility story suddenly you see all the bugs you were too busy to find before productivity is the side effect honesty is the product
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Apr 23
"10 companies hiring QA engineers" the real story: 10 companies finally noticed things are breaking in prod hiring ≠ fixing quality it just means the pain got loud enough too late is the most common QA strategy.
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Apr 21
hot take: AI in QA isn't finding more bugs it's hiding them 10x faster tests, green dashboards, 'quality is up' none of that catches logic flaws or broken user journeys AI optimizes for quantity. quality is a different problem entirely. insane.
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Apr 18
"AI in testing raises productivity" yes but wrong question the real one: what does your QA team do with the time AI frees up? because automation without thinking is just faster coverage theater
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Apr 18
"AI-powered security" is often just a better-labeled false alarm. known patterns caught. new attacks: ignored. auto-remediation: can cascade failures. predictions: blind to novel AI attacks. your leadership thinks u're covered. u're not.
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Apr 15
"does AI increase QA risk?" wrong question the risk isn't AI it's teams treating AI as a replacement not an amplifier AI covers regression fast but it doesn't know your product's history still need humans asking uncomfortable questions tools don't ship bugs. assumptions do.
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Apr 15
"generative AI is transforming QA" yes and no AI writes tests fast but tests for what exactly? give it bad specs you get bad tests just faster tools don't fix thinking.
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Apr 13
AI test automation market: billions projected by 2032 the real market: 90% of teams buy an AI tool add it to their stack call it "AI-powered QA" ship the same bugs as before tool ≠ process software is changing. people, not really.
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Apr 11
everyone's talking about AI test automation but the bottleneck was never writing the tests it was always knowing what to test AI makes bad specs fail faster. still progress.
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Apr 10
"AI will replace QA engineers" nope AI writes 200 test cases in 2 minutes finds patterns in bug history automates regression but it tests what you ask it to test a good QA engineer tests what nobody thought of that gap is still very human.
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ai didn't make QA cheaper it made the cheap parts cheap and the hard parts way more expensive bug in a loop = fixable bias baked into a model = lawsuit your headcount is down your spend per head is up the budget slide looks great tho
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wrong question: "how do we use AI to run more QA tests?" right question: "how do we break AI systems that write their own tests?" that's the actual job now. adversarial prompting. AI psychology. ethical failure modes. not test scripts. insane.
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test automation fails not because of tools because of expectations ppl think: write once, run forever reality: maintain forever or watch it rot unstable env, no ownership, devs shipping without telling QA then everyone blames selenium wrong patient.
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