What are the opening hours?

Monday 9am - 5pm Tuesday 9am - 7pm Wednesday 9am - 7pm Thursday 9am - 7pm Friday 9am - 5pm

TestMatick, New York, NY (2026)

06/02/2026

📱 Android testing is when everything looks perfect on your Pixel, the button shifts on Samsung, and the app crashes on Xiaomi.

Welcome to the reality of Android fragmentation.

Unlike iOS, Android QA teams face a massive ecosystem of devices, screen sizes, hardware capabilities, OS versions, and vendor-specific customizations like HyperOS, One UI, ColorOS, and more.

The challenge?
You can't realistically test on 200 different phones.

That's why smart QA teams build a Device Matrix instead of chasing every possible device.

A well-designed testing pool typically includes:

✅ The most popular manufacturers in your target market
✅ Different Android versions still actively used by customers
✅ Various screen sizes and resolutions
✅ Low-end, mid-range, and flagship devices
✅ Devices with custom Android skins that frequently introduce UI or performance differences

The goal isn't to test everything.
The goal is to test the combinations that create the highest business risk.

A thoughtful device strategy helps teams uncover layout issues, performance bottlenecks, compatibility problems, and vendor-specific bugs long before users do.

Because in Android testing, the question isn't whether fragmentation will cause issues.

It's where those issues will appear first.

🚀 Need help building an effective Android testing strategy without maintaining a warehouse full of devices? Our QA team helps companies design risk-based testing approaches that maximize coverage while keeping costs under control.
Contact TestMatick! 📞 📩

06/01/2026

🍏 Is iOS testing "easy" just because there are fewer devices than Android?
Not quite.

A predictable hardware lineup doesn't mean predictable behavior. The Apple ecosystem has its own set of strict, often invisible constraints — and they catch teams off guard more often than you'd think.

Three areas that actually matter in iOS QA:

⚙️ Background processes — Apple's energy management is aggressive. Apps handling sync, location, or downloads in the background can be silently terminated by the OS if the architecture isn't built with this in mind. No crash log. Just a dead session.

📱 Gestures & UX expectations — iOS users notice everything: swipe-to-back conflicts, broken haptics, layouts that don't adapt cleanly to the Dynamic Island or older notch generations. These aren't "nice to have" fixes — they're rejection-level issues.

🚦 TestFlight & App Store compliance — Testing an iOS app means testing against Apple's review criteria, not just your own acceptance criteria. Improper data storage or tracking practices don't just create bugs — they delay launches.

The teams that ship clean iOS products aren't the ones who test more. They're the ones who know where to look early.

💬 Planning an iOS launch or auditing an existing app? Contact TestMatick — happy to share what a solid QA checklist looks like for your stack.

06/01/2026

Is mobile app testing just web testing on a smaller screen? This is one of the most common misconceptions in software development.

In reality, delivering a flawless mobile experience requires a fundamentally different approach. Mobile QA is a distinct discipline driven by unique, real-world challenges:

📱 Device & OS Fragmentation: Ensuring seamless performance across dozens of OS versions and thousands of hardware configurations (varying screens, chipsets, and sensors).
🌐 Real-World Network Conditions: Validating how the app behaves in low-signal areas, subway tunnels, or during seamless transitions between 5G and Wi-Fi.
🔋 Resource & Performance Constraints: Monitoring battery consumption, memory allocation, and thermal throttling—factors that directly impact user retention.

🔍 Check out our infographic below for a high-level breakdown of the core pillars of professional Mobile QA.

Planning to launch or optimize a mobile app? TestMatick is here to ensure its flawless performance. Let's connect to discuss your QA needs! 📞 📩

05/29/2026

AI is getting better at testing — but it’s still far from replacing human QA. 🤖

And the reason isn’t speed or capability.
It’s context.

AI in QA is strong at generating outputs, but weak at understanding why something matters in a real product.
Here’s where it still falls short 👇

❌ Misses business context
It doesn’t understand product goals, user journeys, or what actually impacts revenue.

❌ Struggles with UX nuance
A technically correct UI can still be a bad experience. AI often misses subtle friction points.

❌ Generates low-value tests
More tests ≠ better quality. Often it increases noise instead of meaningful coverage.

❌ Still needs validation
Human QA is still required to confirm relevance, risk, and real-world impact.

So what’s the real shift?

AI is not replacing QA engineers — it’s changing their focus:
from ex*****on → to judgment
from repetition → to strategy 🧠

The strongest QA teams in 2026 won’t be AI-only.
They’ll be AI-assisted. ⚡

👉 Need help building a QA strategy that actually combines AI + human expertise? Our team can help. Contact TestMatick 📞 📩

05/29/2026

AI in testing is getting a lot of hype right now. 🤖

But beyond the buzzwords, where does it actually help QA teams in real projects?

Here are 4 areas where AI is already making software testing smarter, faster, and more focused — without replacing human expertise. ⚡

👉 Need extra QA support for your releases? Our software testing team is ready to help. Contact TestMatick! 📞 📩

05/28/2026

Most teams are adding AI to testing the wrong way. 🤖⚠️

They try to use it as a shortcut to “automate everything” and shrink QA to almost nothing.

But AI isn’t a replacement strategy — it’s a decision support layer.

The real value isn’t in more automation, but in better decisions:

🧠 Finding risky areas faster
🔍 Reducing noisy, low-value test maintenance
📊 Improving coverage decisions
⚡ Speeding up root-cause analysis

AI doesn’t remove QA effort — it redirects it to where it matters most.

Teams that win in 2026 won’t be the ones that automate everything.
They’ll be the ones that know what not to automate and use AI to amplify human judgment. 💡

Curious how this could work in your QA process?

We're here to help you build smarter, AI-assisted QA pipelines. Contact TestMatick 📞 📩

05/28/2026

AI is changing software testing — but probably not in the way many teams expected 🤖🧪

The biggest wins don’t come from replacing QA engineers.

They come from helping teams:
✅ identify risky areas faster
✅ reduce repetitive test maintenance
✅ generate better test ideas
✅ detect patterns humans might miss
✅ speed up debugging and root-cause analysis

The companies getting real value from AI in testing aren’t trying to automate *everything*.
They’re using AI to make their QA process smarter, faster, and more focused. 🎯

And honestly? Human expertise still matters more than ever.

Because AI can suggest.
But experienced testers still understand business logic, user behavior, edge cases, and what actually matters in production.

The future of QA isn’t AI vs humans.
It’s AI-assisted testing with strong QA strategy behind it. 🚀

Need extra QA power for your product releases? Our software testing team is ready to help. Contact TestMatick! 📞 📩

05/27/2026

Most teams say they've shifted left. Few can prove it.

If your answer to "how's it going?" is still "we're catching bugs earlier" — that's a feeling, not a measurement. C-level decisions need numbers.

Here are the three metrics that actually matter after a Shift-Left reform:

🔹 Defect Leakage Rate
How many bugs hit production vs. how many were caught earlier. This is your north star. It should drop consistently over 2–3 release cycles. If it's flat — your shift stayed in the Confluence page where someone wrote it up.

🔹 Time to Market
Shift-Left should speed you up. Quality embedded early means less firefighting, fewer rework spirals, more predictable releases. If TTM hasn't improved in 6 months, the process is adding friction, not removing it.

🔹 Build Failure Rate in CI/CD
If developers write tests alongside code, your pipeline fails earlier — and less often over time. A persistently high failure rate means tests are still an afterthought.

Track these per sprint. Trend matters more than the absolute number.
If none of them moved — you adopted the vocabulary, not the practice.

At TestMatick, we help engineering teams ship faster with less production noise — from test strategy to CI/CD integration. Contact us if you want a second pair of eyes on your QA setup. 📞 📩

05/27/2026

How do you actually build a modern Shift-Left QA pipeline without breaking your development workflow? 🤔

It’s not about theory — it’s about implementing the right engineering pillars. Today, Shift-Left relies on automated gates that catch architectural flaws, integration bugs, and security loops before code ever hits your main branch.

We’ve mapped out the 4 technological pillars of a bulletproof Shift-Left strategy for 2026 into one single blueprint.

Check out the infographic below to see the exact tools and automated practices your team needs to deploy right now to slash technical debt and ship faster. ⚡

🚀 Want to build these gates into your pipeline? Partner with TestMatick to transform your engineering culture and automate your quality control.

05/26/2026

AI is helping your developers write code 3x faster. But who is testing it? 🤖💥

Tools like GitHub Copilot and ChatGPT have revolutionized development. Codebases are growing at an unprecedented speed. It feels like a massive win for productivity — until you hit the QA phase.

Here is the hidden trap of the AI era: More code means more bugs, generated faster than ever before.

If your QA team is still waiting until the end of the sprint to test everything manually, they are about to get buried under an avalanche of AI-generated code. The old "test at the end" model is officially broken.

To survive the AI speed run, you need Shift-Left Testing Redefined:

📉 AI-Speed Requires AI-Gates: If code is generated automatically, syntax checks and Static Code Analysis (linters) must run automatically the second that code is generated.

🛑 Don't Merge Blindly: Build strict CI/CD gates. If AI-generated functions don't pass automated unit tests, they shouldn't even reach a human QA engineer.

🧠 Human QA as Strategic Architects: Shift your QA experts to the left—let them design complex test strategies and look for architectural flaws, while automation handles the routine code checking.

AI-driven development without Shift-Left is just a fast track to technical debt. To scale your product safely, you must scale your quality gates at the exact same speed.

🚀 Is your QA process keeping up with your development speed? At TestMatick, we help tech teams seamlessly embed automated QA gates into their CI/CD pipelines to catch bugs before they cost a fortune.

TestMatick

06/02/2026

06/01/2026

06/01/2026

05/29/2026

05/29/2026

05/28/2026

05/28/2026

05/27/2026

05/27/2026

05/26/2026

Address

Opening Hours

Telephone

Website

Alerts

Contact The Business

Shortcuts

Share

Category

Monday	9am - 5pm
Tuesday	9am - 7pm
Wednesday	9am - 7pm
Thursday	9am - 7pm
Friday	9am - 5pm