TestFort

06/22/2026

🔹 TestFort is 25 today. 🔸

Behind every "tested, ready to ship" there's a person who cared enough to catch the bug before your users did. That's been true for 25 years — through every shift in tools, platforms, and what "quality" even means.

✨ To our team, past and present: you are the reason QA at хештег means something. Thank you.

And to the clients who grew with us along the way — we're just warming up.

06/22/2026

Fitness apps are becoming more data-driven, more personalized, and more dependent on smooth user experiences across devices, wearables, and engagement flows.

That also makes quality harder to protect.

AI-assisted guidance, wearable integrations, adaptive recommendations, gamification, and subscription journeys all need to work reliably if they are going to support retention instead of creating friction.

📅 July 1
⏰ Time: 3 PM (GMT+1) / 5 PM (GMT+3)

Register here: https://streamyard.com/watch/j9kGi2Sw6CxB

Fitness apps have become very good at tracking.

◾️ Workouts completed.
◾️ Steps taken.
◾️ Calories logged.
◾️ Streaks maintained.
◾️ Progress charts updated.

But tracking does not automatically mean loyalty.

The next challenge for fitness and wellness products is helping users understand what to do next, and making that guidance feel personal enough to keep them engaged.

👉 That’s what we’ll discuss in our upcoming webinar: How Fitness Apps Drive Loyalty and Revenue.

We’ll talk about:

✅ AI-driven personalization
✅ Wearable data
✅ Adaptive coaching
✅ Gamification tied to personal progress
✅ User engagement loops
✅ Retention and subscription value
✅ Product decisions behind stronger fitness experiences

📅 July 1
⏰ Time: 3 PM (GMT+1) / 5 PM (GMT +3)

If you’re building, scaling, or rethinking a fitness or wellness app, this session is for you.

Register here: https://streamyard.com/watch/j9kGi2Sw6CxB

06/02/2026

AI testing delivers the most value when it is built into the full testing lifecycle: a single AI tool generating test cases is useful, but a structured AI-augmented QA workflow is much more powerful.

💡 In TestFort’s AI-powered testing framework, AI provides support for 8 STLC phases:

1️⃣ Requirements analysis: Detects unclear requirements, missing acceptance criteria, and testability gaps earlier.
2️⃣ Test planning: Drafts risk matrices, test strategies, estimates, and plan sections faster.
3️⃣ Test design: Generates positive, negative, boundary, edge, regression, and accessibility test cases.
4️⃣ Environment setup: Supports synthetic test data, infrastructure drafts, and setup failure diagnostics.
5️⃣ Test ex*****on: Prioritizes tests by code changes, risk, failure history, and available time.
6️⃣ Defect management: Drafts cleaner bug reports, detects duplicates, and supports root-cause analysis.
7️⃣ Test closure: Generates test summary reports from Jira, TestRail, CI/CD, and coverage data.
8️⃣ Test automation: Speeds up Playwright, Cypress, Selenium, or Appium script creation and maintenance.

The important part is knowing where AI helps, where it needs review, and where it does not belong on a specific project, because that is where AI-powered testing becomes a delivery advantage instead of a chaotic experiment.

👉 Learn more about our AI-powered testing expertise and how we apply it: https://buff.ly/VBz6hvG

05/21/2026

Today, on May 21, we celebrate Day — a symbol of Ukrainian identity, resilience, and cultural heritage. What started as a student initiative in 2006 has become a global tradition. This year, Vyshyvanka Day celebrates its 20th anniversary.

Wear your vyshyvanka with pride and celebrate the traditions that connect generations and communities across the globe.

💙💛 Happy Vyshyvanka Day!

04/08/2026

When QA resources are limited, being able to correctly prioritize testing efforts becomes one of the most valuable skills.

💡 The reason is simple: you cannot test everything, but you also cannot test at random.

Startups and small teams that manage QA successfully rely on:

🔹 Risk-based testing
🔸 Exploratory testing
🔹 Developer-driven testing
🔸 Lightweight QA frameworks

👉 These are the things we’ll discuss in our upcoming webinar.

📅 Date: April 8
⏰ Time: 1:00 PM UK │ 2:00 PM CET
🎤 Speakers: Igor Kovalenko and Michael Tomara
🎙 Moderator: Bruce Mason

🔗 Reserve your spot today: https://lnkd.in/g4HPxWEe

03/23/2026

💡 Startups and small teams often don’t have the luxury of a dedicated QA team, but product quality still matters.

👉 Join our upcoming webinar to find out how startups can test effectively even with limited QA resources.

📅 Date: April 8
⏰ Time: 1:00 PM UK │ 2:00 PM CET
🎤 Speakers: Igor Kovalenko and Michael Tomara
🎙 Moderator: Bruce Mason

🔗 Sign up here: https://lnkd.in/dS8Vz7tN

01/28/2026

Quality outcomes are shaped long before the first tests are run, and that makes the role of QA leadership even more critical.

🔔 This is why ’s upcoming webinar on testing leadership is a must-see for testing leaders, CTOs, tech executives, and more.

3️⃣ Three QA and delivery experts will break down how mindset, management approach, and workload balance all impact long-term quality in the same ways.

📆 📌Be sure to reserve your spot before February 10, 2026 at 12:00 PM (UK time) and get the recording directly to your inbox if you can’t make it to the live discussion.

👉 Register right now: https://streamyard.com/watch/W3va2gkcTJ5y

01/21/2026

Our team just published a guide on regression testing that focuses on business results:

🔹 Release software 30-40% faster by catching bugs earlier
🔸 Reduce support tickets by up to 60%
🔹 Free up developer time for building new features instead of fixing bugs

Based on our experience with hundreds of projects, this guide includes:

🔸 A simple method for identifying high-value test cases
🔹 Tool recommendations for different project types
🔸 A clear 10-step implementation plan
🔹 Real examples including our Windows server application rescue

No complicated testing theory — just what works in the real world.

💡 How has quality testing improved your development process?

👉 Check the full article: https://buff.ly/BUxQOGz

11/25/2025

🔹 Building or testing healthcare software? 🔸

Make sure your QA approach is as advanced as your product.
In our latest article, we break down what it takes to deliver secure, reliable, and regulation-ready healthcare apps. Here’s what we cover:

✅ Types of medical software and how they impact testing
✅ Key risks: usability, performance, compliance, hardware/software compatibility
✅ Common testing types in хештег QA
✅ Risk-based and automated testing strategies
✅ Testing AR/VR and medical device applications
✅ Integration with legacy systems and backend modernization
✅ Consent management, ethics, and compliance essentials

👉 Check out the full article for more details: https://buff.ly/doddDei

11/10/2025

🔹 Your AI model shows 94% accuracy. 🔸

But it still discriminates against users.

Makes decisions nobody can explain.

And risks EU AI Act penalties up to 7% of global revenue.

Traditional fails when testing AI. Our recent webinar with Twinkle Joshi, Michael Tomara, and Bruce Mason revealed why — and what to do about it.

Key insight: "Every unexplainable decision is a trust deficit."

👉 Watch the recording and learn:

✅ How to detect bias using AI Fairness 360
✅ Making black-box models transparent with SHAP/LIME
✅ Building continuous validation pipelines
✅ EU AI Act compliance strategies

💡 Learn more from our webinar recap: https://buff.ly/cQfEJnv

Watch our AI testing webinar recording. Learn bias detection, explainable AI tools, EU AI Act compliance, and how to test beyond accuracy metrics.