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See what we've been up to and what we're planning in Q2 2025!

See what we've been up to and what we're planning in Q3 2024!

See what we've been up to and what we're planning in Q2 2024!

PR testing sounds fast, but often delays releases with flaky tests, infra strain, and unclear failures. RC testing validates a stable build before release—cutting noise, reducing rework, and aligning QA and dev around quality that scales.

Mobile tests flake when device, app, or data state isn’t reset. QA Wolf controls all three, so tests start clean and run the same way every time.

A no-fluff guide to the top mobile testing frameworks, updated for 2025. Learn when to use Appium, Espresso, XCUITest, Detox, Playwright, and more.

Android emulators are essential for scaling mobile test automation—but instability can derail even the best test suites. This guide covers five proven strategies to reduce crashes, improve performance, and make your end-to-end tests more reliable.

Crowdsourcing has some valid use cases. But before you decide to go with a crowdsourcing vendor for automated testing, make sure you understand the drawbacks. This blog will tell you when it's is the right testing strategy for your project and when you are better off with something else.

QA Wolf and MuukTest may seem similar at first glance, but they serve different needs. QA Wolf’s all-inclusive service for complex projects versus MuukTest’s piecemeal pricing for simpler applications. Dig into the details to determine which service best suits your project’s demands.

QA Wolf provides a managed solution for custom, fast-changing software with per-test pricing, while Mabl offers a self-service tool for simpler apps with usage-based pricing. Explore their differences to find the best fit for your QA needs.

Explore 13 notorious software failures, from the Knight Capital failure to the Toyota acceleration problem. Learn how robust end-to-end testing could have prevented these high-impact errors and what we can learn from them.

Learn the core principles of software testing, explore best practices for quality assurance, and understand how to apply effective testing strategies for optimal results.

Integrate DevOps with automated testing to speed up software delivery and improve quality. Learn the best tools and practices today.

Discover the importance of negative testing in software development

Announcing our $36 million Series B and the launch of mobile app testing, which is open for waitlist. The investment is led by Scale Venture Partners with participation from Threshold Ventures and Ventureforgood, and existing investors Inspired Capital and Notation Capital.

PR testing promises speed and confidence—but often delivers flakes, bottlenecks, and burnout. Learn why it goes sideways and what to fix before you make the switch.

 You’re not imagining things. Everything that makes E2E regression testing difficult is infinitely more challenging when you’ve integrated with or built on top of Salesforce. 

The job of testing in the world of generative AI involves familiarizing yourself with new territory and revisiting some slightly familiar terrain. But the creative essence of testing remains consistent.

Look before you leap - here's what you should watch out for when considering an AI-powered testing tool.

Learn how to test generative AI applications from the best. Use this curated list to find the information you need.

Modern tools and frameworks make regular web page performance testing easier for teams. We'll provide the code samples to get your team up and running with the performance metrics you need to create a great customer experience.

Your organization will benefit from accessibility testing in more ways than you are probably aware of. We will tell you how you can build a strategy to reap those benefits.

See what we've been up to and what we're planning in Q1 2024!

End-to-end regression testing for generative AI applications is mostly undiscovered territory. We’re blazing the trail, and here are some things we’ve mapped so far.

Too many test suites collapse under scale because they lack a clear plan. Discover how to build a test coverage roadmap around workflows that matter, prioritize by impact, and maintain alignment with real product usage as your app grows.

The way you construct parallel tests has changed in the last five years. If you’re going to be successful, you need to change how you think about it.

Outsourcing the creation of your automated end-to-end tests and then handing them to your in-house team might seem like a good idea. Here's why your expectations likely don't match reality.

Don't stop at detecting bugs. Get to the root of your quality problem and prevent bugs from showing up in the first place.

Is the doom loop of tech debt causing escapes that take time away from refactoring?

What goes into a QA Wolf bug report, and how testers can improve their communication with developers to speed up fixes and releases.

Attention, gear heads: Learn the details of our Kubernetes implementation that enables us to execute fully parallelized test runs, whether there are 200 tests in the run or 20,000.

Full parallel testing is hard. But in the long run, other approaches to test execution cost more in productivity and dollars. Learn how you can help your team deliver a quality product faster and save money.

You learn a lot about the reality of E2E testing when you manage tens of thousands of them each week.

We've come a long way since the Browser Wars and automated cross-browser testing is probably not worth the expense, except in a handful of cases.

Counting tests isn’t the same as understanding your test coverage. These six metrics track signal quality, flake rates, skip rates, and workflow alignment to show whether your coverage helps you catch bugs early—or just slows your team down.

When QA teams own end-to-end testing without the right systems, test maintenance takes over and coverage stalls. Give them the tools to do what they do best: catch meaningful bugs before they reach production.

Every environment is different — that’s the point — so your end-to-end tests have to be different too.

The Playwright vs Cypress debate is sure to go on, but when it comes to testing complex workflows, Playwright is better than Cypress for QA Wolf and our customers.

If you’re building your test suite in-house, take a tip from the QA Wolves: Cover the critical workflows across your whole product first and work down to the edge cases—don’t go feature by feature.

We didn't think charging for test runs or hours worked aligned the price of automated E2E testing to the value you actually receive. Read why we charge by test under management instead and how it creates a fairer, more predictable pricing structure for everyone.

After thousands and thousands of end-to-end tests, we've picked up a few tricks to build fast, stable, and accurate ones. So come along and we'll teach you how to build automated tests the QA Wolf way.

Here's how the Triple-A framework (Arrange–Act–Assert) improves on Given–When–Then, makes tests more resilient to code change, and enables fully parallel runs.

Learn how the Triple-A framework helps you define your test coverage needs and what you need to validate to feel confident in every build you release.

Exactly how long can a test suite survive on its own while developers continue to ship new code? Read on to find out.

As startup operators, we’ve learned that there is often a "story behind the story" that goes untold. In this post, we'll go back in time and cover the winding path that led to our first $1.1 million in funding from Sahil Lavingia, Naval Ravikant, and pre-seed lead Notation Capital.

Five cost-effective changes you can make to increase and sustain the velocity of your engineering teams that don't include hiring additional resources. Here's how to do more with less.

When automated tests are in working order they provide engineers with rapid feedback on features that are still in development. When they're flaky — when they repeatedly fail without finding a bug — they lose any value to developers, and they're a liability to the team.

Our evolution from an open source command line interface to a full-service QA solution actually happened very naturally as we looked deeper and deeper into the problem at the heart of test automation.

Trying to expand test automation before proving value? This post breaks down four common pitfalls that derail early testing efforts—and shows how to shift from stalled initiatives to steady momentum.

Master the fundamentals of end-to-end testing so your team can catch bugs early, scale confidently, and ship with speed.

The Test Pyramid gives engineering teams an excuse to under-invest in end-to-end test coverage. In this post we debunk three common myths about automated testing: It’s too expensive, it’s too slow, and you can move fast without breaking things.

Shifting left doesn’t mean developers should own E2E testing. When they do, test quality drops, coverage gaps grow, and delivery slows. Let devs focus on building—leave black-box testing to QA.

Test automation is easy to start—but hard to sustain. This post breaks down seven common reasons teams stall out after launch, from flaky tests to infrastructure bottlenecks, and how to move from proof-of-concept to real coverage.