TestMetry🎙️

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.

This is the Strait of Hormuz right now. The ceasefire says the route is open. The map says something else. Traffic should be 100 ships/day. What we’re seeing is still a fraction of that. Ships are clustered. Movement is cautious. Flow is not normal. #IranWar‌ #Hürmüz #Israël

One of the best ads that I have seen in 2026.

The official QA translation for 'works on my machine': Developer laptop. 32GB RAM. Clean DB. Admin access. Production. Shared infra. Real data. No privileges. It worked perfectly. Just not anywhere customers exist. Happy Testing, QA community. #SoftwareTesting #QA #DevHumour

Breaking: Air Canada CRJ-900 Collides With Fire Truck At LaGuardia, Fatalities Reported simpleflying.com/air-canada-lag…

Your automation suite: all green. Your monitoring tool: caught a critical API failure. The team celebrated the monitoring catch. Nobody asked why automation missed it. Monitoring saving you is not a win. It is a warning. #TestAutomation #SRE #DevOps #QA

QA team shifted left. Production defects dropped 60%. UAT cycles cut from 3 weeks to 5 days. Leadership response at budget review: Looks like we need less QA resource. Shift left worked. Nobody told the business how to read the results. #ShiftLeft #QA #QALeadership

How enterprises pick automation tools: Best demo wins. How enterprises regret automation tools: 18 months later the team cannot maintain what was built. Tool selection is not a technology decision. It is a people decision disguised as one. #TestAutomation #QA #Engineering

Your automation ROI calculation is missing one number. The cost of maintaining broken scripts. Add it. Then tell me if the picture looks the same. #TestAutomation #QA #ROI

Signs your AI testing adoption is failing: Same processes as before the tool arrived. No governance on what the AI produces. Team cannot explain what the AI is actually testing. Dashboard is green. Confidence is fake. The tool is not the problem. The adoption model is. #AITest

We performance tested the application. Nobody tested the database. Nobody tested the third party integrations. Nobody tested what happens at 10x load. We shipped on Friday. Production explained the

QA gets invited to two types of meetings. 1. Post incident reviews. 2. Everything else. QA is always in room 1. Rarely in room 2. That is how you know quality is still a cleanup function, not a design function. #QALeadership #SoftwareQuality #Engineering

847 tests running. 700 passing. 147 failing. 0 defects found. Congratulations. You have automated your ability to find nothing. #TestAutomation #QA #SoftwareTesting

You do not have a testing problem. You have a requirements problem. Most defects that reach production were not testing failures. They were requirement failures testing could not catch. Because nobody defined what good looks like before the code was written. #SoftwareTesting

Your team bought an AI testing tool. Fed it 3-year-old requirements. Got 1,200 test cases back in 2 hours. All of them are perfectly wrong. AI does not fix bad inputs. It scales them. #SoftwareTesting #AITesting #QA

@netanyahu @grok Why do you say that this is an AI generated video. Provide 5 reasons

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The testers who will thrive in the next 5 years aren't resisting AI. They're building what AI can't replace. Context. Judgment. Business risk thinking. Are you training for that?

90% automated. Still shipped a broken checkout flow. Automation measures activity. Leadership wants to know what risk you removed.

Nobody Asks Nobody asks how to test better. They ask how to prove testing is working. That's the real problem. And most QA teams haven't figured out the answer yet.

AI can write tests. AI can't tell you which tests matter. That judgment, knowing where the risk sits, what the business can't afford to break, comes from experience. AI doesn't have either.

QA teams get outsourced when they speak tester. They survive budget cuts when they speak business. If you can't translate risk into revenue impact, you're always a cost. Never an investment.