05/19/2025
Finding New Cheese: Adapting to a World of Accelerated Change
By Philip Lew, President of PNSQC
“It is not the strongest of the species that survives, nor the most intelligent; it is the one most adaptable to change.” – Charles Darwin
We live in a world moving faster than most of us ever imagined. Economic, technological, and societal changes aren't just accelerating—they’re compounding. In the past, we could afford to learn something once and ride the wave of that knowledge for a decade. Today, your ability to adapt is more valuable than any technical skill.
And in our world—software testing and quality assurance—this truth is unavoidable. We're not just adapting to change but trying to lead through it.
The Accelerating World: What's Driving the Shift?
The drivers of change are multi-faceted:
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Moore’s Law still rules – computing power is doubling; costs are halving.
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Market globalization is erasing borders faster than policies can adapt.
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AI and automation are revolutionizing how we test, deploy, and deliver software.
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And yes—software ate the world, and now AI is nibbling at the corners.
In testing, what was once manual and isolated is now continuous, integrated, and often driven by machine learning models analyzing patterns faster than any human could.
The question isn't whether you're using AI in testing. The question is: are you learning fast enough to keep up with the cheese as it moves?
Developing Your Real Intelligence (with a Little Help from AI)
Look, I love the rise of artificial intelligence in testing. But before we automate our learning, we must learn how to learn.
Ask yourself:
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Do you understand how your brain processes information?
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Can you identify when you're reacting emotionally versus rationally?
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Are you aware of biases (like confirmation bias or the Dunning-Kruger effect) that might cloud your test strategies?
AI can’t fix flawed thinking. It only accelerates it.
That’s why we need a personal algorithm—not just for testing code, but for testing ourselves.
Software Testing in 2025: From Scripts to Self-Learning Systems
Here's where the testing world is heading:
Top Trends:
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AI for Testing – from test case generation to anomaly detection
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Automation Across APIs and Mobile
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Self-healing Test Suites
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Synthetic Test Data and Environments
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Integration of Toolchains and Feedback Loops
But here's the kicker: none of them matter if you're solving the wrong problem.
We don’t just need testers—we need critical thinkers who ask better questions, adapt faster than code can compile, and build bridges between logic and emotion, data and judgment.
Build Your Personal Algorithm
This isn’t just a keynote title—it’s a call to arms.
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Learn how to learn. Study how you process information. Understand repetition and the illusory truth effect.
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Upgrade your beliefs. Be willing to discard outdated assumptions.
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Frame problems correctly. Sometimes the problem isn’t the bug—it’s the blind spot.
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Use AI wisely. Automate the tedious. Focus your brainpower on the ambiguous.
You are the technology. Update your firmware.
Join Me Live: May 20th @ PNSQC Monthly Meetup
I'll deliver this talk live at the upcoming PNSQC Monthly Meetup on May 20th. This will be a dynamic, interactive session on building resilience in your career, mindset, and test frameworks.
Location: Hope Chinese Charter School 3500 SW 104th Ave, Beaverton, OR 97005
Time: 6:00 PM PT
Speaker: Philip Lew (that’s me)
Register now → Reserve your spot