I make sure your apps are flawless and lightning fast | Global 1000 customers trust me with 45000 hours of experience in software testing & test automation
What if every AI tool stopped tomorrow?
No ChatGPT. No copilots. No automation.
The AWS outage showed how fragile “reliable” systems can be.
AI isn’t just apps—it’s infrastructure.
If it fails, can your systems still recover?
Resilience isn’t optional. Prove it.
AI can generate test cases in seconds—but are they the right ones? 🤔
In this reel, I share 15 things to watch out for, from clear requirements to checking assumptions and protecting sensitive data.
What would you add? 👇
#SoftwareTesting#AITesting
@TheOriginalWynn@ericweinstein Stop blaming immigrants for everything. Stop expecting job security without performance. Work harder, keep learning, and make yourself valuable.
The world is competing for opportunities. Nobody owes you a job simply because you were born in a particular country.
@ericweinstein If you are not delivering value, don't blame Indians for taking your jobs. Employers look for people who can get the work done.
Today, that talent may come from India. Tomorrow, it could come from Africa or anywhere else.
@gojiberryai Tried Gojiberry with high hopes. After using it, my LinkedIn account stopped working and activity seemed to be flagged as robotic. I can’t prove the cause, but I no longer felt safe using it. Gojiberry cancelled my subscription but refused a refund under its non-refundable policy
@gojiberryai Tried Gojiberry with high hopes. After using it, my LinkedIn account stopped working and activity seemed to be flagged as robotic. I can’t prove the cause, but I no longer felt safe using it. Gojiberry cancelled my subscription but refused a refund under its non-refundable policy
@gojiberryai I subscribed to Gojiberry with high hopes. After using it, my LinkedIn account stopped working and activity appeared to have been flagged as robotic.Gojiberry alone caused the problem, but the timing left me unwilling to keep using the product.
Flaky tests taught our testers to ignore real bugs.
Red became a rerun. Rerun is green. Then defects reached production.
Now every failure gets a cause tag, the top cause gets fixed first.
Each test owner tracks flaky rate.
Fix the signals. The team starts listening.
A defect found in a requirement is a conversation.
Found in production, it can become an incident, a customer problem and an expensive fix.
The earlier teams find defects, the less costly they are to resolve. Quality starts long before the final test.
Quality is NOT QA's job.
Developers build it.
Product defines it.
Business prioritizes it.
DevOps releases it.
But when production breaks, QA gets blamed.
QA can find defects. It cannot fix a broken quality culture.
Agree?
#SoftwareTesting#QA#DevOps#SoftwareQuality
AI didn't kill your IT jobs.
Your business strategy did.
Stop using AI as a scapecoat for slow sales, weak planning, and skipped junior hiring.
That's not an AI crisis.
That's poor execution.
Your test data strategy may be killing your test cycles.
Fast teams engineer test data.
Slow teams wait for infrastructure.
Create data during execution. Mask it yourself. Generate synthetic data at scale.
Stop borrowing data. Start engineering it.