
Mobile app testing at scale: iOS and Android strategies
·Grigory Khromov
How mobile app testing differs from web testing, why device fragmentation matters, and how to build an iOS and Android testing strategy that scales.
Finance & banking
QA for banks, fintechs, and payments
Insurance & claims
QA for carriers, brokers, and insurtech
Media & entertainment
QA for publishers and streaming
Retail & eCommerce
QA for storefronts, cart, and checkout
SaaS Apps
QA for multi-tenant B2B software
Travel & Hospitality
QA for booking, GDS, and reservations
Klarent's insights on AI-powered testing, automation best practices, and the future of software quality.

·Grigory Khromov
How mobile app testing differs from web testing, why device fragmentation matters, and how to build an iOS and Android testing strategy that scales.

·Julien Grisoni
A practical guide to the main types of functional testing: unit, integration, system, smoke, regression, and UAT, and how to choose the right mix.

·Dyuwan Shukla
Learn what automated testing really depends on: determinism, the split between build and maintenance cost, and where AI changes the math.

·Kenny Brown
A practical guide to accessibility testing at enterprise scale: what it covers, WCAG conformance levels, and how to combine automated and manual review.

·John Tharian
A practical comparison of AI testing platforms and traditional test automation suites: setup, maintenance, skill requirements, and total cost of ownership.

·Ryan Short
AI has made it cheap to ship something that looks finished. This piece looks at why QA, not features, is becoming the thing companies compete on to prove a product was actually tested.

·Sanu Krishnan
Apple's first foldable iPhone changes screen shape at runtime. Here is the new mobile QA test matrix, the pain points it creates, and how to keep a suite from breaking with every fold.

·Asheem Panakkat
Agents write code faster than anyone can review it, and shift left just moves the same bottleneck into the test suite. Why QA needs to shift out instead: an independent layer that verifies behavior from outside the code.

·Bhavit Gupta
Klarent, the autonomous QA testing platform, is now accessible through Microsoft Marketplace

·Julien Grisoni
Agentic AI and generative AI are not the same thing. This guide breaks down the architectural difference and what it means for enterprise QA teams.

·John Tharian
A complete guide to test data management: variables, secrets, and assets, plus best practices for credentials, masking, and enterprise QA.

·Julien Grisoni
Smoke testing and sanity testing look alike but solve different problems. See the key differences, a comparison table, and when to automate each.

·Dyuwan Shukla
Learn how to build a software testing strategy that scales with fast releases: risk-based testing, shift-left CI/CD, and AI-driven automation.

·Sanu Krishnan
See how visual regression testing catches UI bugs functional tests miss: pixel vs. DOM comparison, self-healing baselines, and false positives.

·Ryan Short
Outsourcing DevOps buys speed, not trust in what ships. Here is why more companies are adding an independent, automated quality layer on top of the pipeline they already have.

·Dyuwan Shukla
CI compute is 4% of what an end-to-end test costs to own. The other 96% is a person maintaining brittle selectors. Here is the math, and what it means for coverage.

·Ryan Short
AI pricing is being subsidized while investors buy adoption. When that subsidy runs out, the invoice lands all at once, and QA teams regenerating code on every small break are exposed the same way Uber was.

·Damiano Tomazzolli
Why video elements silently fail in Playwright's bundled Chromium, and how to switch to real Chrome so H.264 and DRM content actually decode.

·Asheem Panakkat
Why Klarent lets you export your test code and run it anywhere, and what that says about where the real value in autonomous QA lives.

·Kenny Brown
How fractional CTOs can hand off QA entirely with autonomous, guaranteed test coverage that runs itself across every client engagement.
·Kirill Shakhnovich
Everyone says agent quality is up. Here is how we measure it at Klarent, and what our numbers show.

·Asheem Panakkat
We are officially naming our product as Klarent, and launching native mobile testing across Android and iOS.

·Sanu Krishnan
See the real build vs buy analysis for QA tooling, engineering cost, maintenance burden, and the reliability gap teams miss before buying.

·Grigory Khromov
Fixed timeouts are slow. Vision models are expensive. Turns out high-school calculus is just right.

·Grigory Khromov
A technical dive into a sneaky numerical instability issue with a custom loss function and how math tricks helped to solve it.

·Simon Hecker
Autonomous testing eliminates the maintenance tax and keeps pace with modern release velocity