Why Test Maintenance Breaks at Scale

Test maintenance at scale slows releases. Teams that rely on coded assertions spend more time updating tests than improving coverage. Brittle locators, environment drift, and false positives all add up—turning automation into a maintenance cycle.

Neglecting maintenance is like skipping car care: small issues snowball into costly downtime. A smarter approach replaces manual review and locator-based scripts with automated, visual validation that adapts as your UI evolves.

How Visual AI Delivers Test Maintenance at Scale

Visual AI replaces dozens of coded assertions with a single checkpoint that mimics how humans see. It validates full UI states, detecting layout shifts, missing elements, and text overlaps automatically.

By consolidating validations into one Visual AI check, teams cut review time, reduce false positives, and gain faster feedback cycles.

Scale Reviews with Ultrafast Grid and Grouping

Running tests one browser at a time no longer scales. The Applitools Ultrafast Grid executes a single test once, then validates results across every browser and device combination in parallel.

Batching and grouping features make reviews equally efficient—approve or reject similar changes across entire runs in just a few clicks.

How it works

• Replace assertions with one visual checkpoint
• Run once across all browsers and devices
• Batch results for unified review
• Approve or reject in bulk
• Tune match levels for dynamic content

Together, these capabilities eliminate redundant effort and make large-scale testing faster to maintain.

Customer Results: 78% Less Maintenance

Teams that adopt this approach see measurable ROI. At Peloton, replacing a legacy visual testing tool with Applitools Visual AI produced a 78% reduction in maintenance time and saved about 130 hours per month.

With dynamic leaderboards, live data, and responsive layouts across web and native mobile, Peloton maintains quality at scale without expanding test overhead.

Three Features That Change Maintenance

“Ultrafast Grid, Visual AI match levels, and bulk grouping—those three change the game.”

Mike Millgate, Smarter Test Maintenance at Scale

These three deliver flexible validation, fast execution, and effortless maintenance. Each removes manual steps and accelerates the feedback loop that keeps releases reliable.

Smarter Maintenance for Modern Teams

Smarter test maintenance isn’t about writing more code—it’s about automating intelligently. Visual AI reduces flakiness, speeds reviews, and scales across devices and environments.

To see what’s next, explore Applitools Eyes 10.22, featuring faster review cycles, new Storybook and Figma integrations, and even shorter feedback loops for test maintenance at scale.

The post Test Maintenance at Scale: How Visual AI Cuts Review Time and Flakiness appeared first on AI-Powered End-to-End Testing | Applitools.

Two recent episodes from Thoma Bravo’s Behind the Deal video series take you behind the scenes of Applitools—offering both a strategic and technical lens on how we’re transforming test automation with Visual AI and autonomous testing.

One episode focuses on the big-picture vision behind Thoma Bravo’s investment. The other digs into the founding story, engineering mindset, and what it really takes to build a testing platform that scales.

How Applitools Uses AI to Revolutionize Test Automation

Host: Carl Press (Thoma Bravo) | Guests: Alex Berry (CEO), Adam Carmi (Co-founder & CTO) | Watch on YouTube

• Why this is the inflection point for AI in testing
• How Applitools helps teams increase coverage while reducing maintenance
• The business logic behind Thoma Bravo’s investment

“With Visual AI, we’re dramatically reducing test maintenance while expanding coverage across the digital experience.”
– Alex Berry, Applitools CEO

Beyond Automation: How Applitools Improves Speed, Scalability & Accuracy

Host: Carl Press | Guests: Alex Berry, Adam Carmi | Watch on YouTube

• The origin story behind Applitools’ platform
• Challenges of scaling visual testing across devices and environments
• Insights from Alex and Adam on culture, leadership, and innovation

“Our goal was to solve the test flakiness problem for good—and make it effortless for teams to deliver quality at scale.”

– Adam Carmi, Applitools Co-Founder & CTO

What’s Next for AI in Software Development?

These episodes offer more than just company insight—they highlight the shifting expectations around quality, speed, and AI in modern software development. If you’re exploring how to future-proof your test strategy, or simply want to see what’s possible with Visual AI, these conversations are a great place to start.

Have questions about how this applies to your team? Reach out to start a conversation—we’re here to help you evaluate if the Applitools Intelligent Testing Platform is the right fit for your goals.

The post Behind the Deal: How Applitools is Scaling AI-Driven Testing appeared first on AI-Powered End-to-End Testing | Applitools.

Applitools was named CIO Review’s 2025 AI-Powered Test Automation Platform of the Year—not because we chased buzzwords, but because the platform is fundamentally AI-native, built for engineering scale, and designed to help developers test smarter without slowing down.

For developers, testers, and QA engineers, the award reflects what actually matters:

• Reducing test flakiness
• Automating visual and functional checks in parallel
• Scaling test execution across browsers and devices
• Plugging into CI/CD pipelines without disrupting existing workflows

Let’s break down what makes this platform stand out from a developer’s perspective.

AI-Native Testing, Not Bolt-On AI

Applitools isn’t a traditional test framework with AI sprinkled on top. It’s purpose-built to use Visual AI plus code-aware intelligence for smarter test coverage. That means:

• You can catch regressions that DOM diffs would miss
• You write fewer assertions, yet spot more visual and layout issues
• You reduce false positives and test flakiness—without relying on brittle selectors

It’s AI-native automation that understands what the user sees, not just what the code renders.

Built for Real Engineering Workflows

Applitools supports every major language and framework, including:

• Languages: JavaScript, TypeScript, Java, Python, C#, Ruby
• Frameworks: Cypress, Playwright, Selenium, WebdriverIO, and more
• Mobile: Appium and native frameworks

You don’t need to rip and replace. Applitools plugs directly into your current test suite with minimal setup and no test rewrites required.

Ultrafast Grid = Multi-Platform Testing Without the Bottlenecks

You run your tests once. Applitools executes them across dozens of browser, OS, and device combinations in parallel—via the Ultrafast Grid, not your CI or local machine.

That means:

• Fast, scalable cross-browser coverage
• Smart DOM diffing combined with Visual AI
• Consistent UX testing across breakpoints and devices

No emulators. No stitched screenshots. Just reliable results, fast.

Seamless CI/CD Integration

Applitools fits natively into DevOps workflows with:

• GitHub Actions, GitLab, Jenkins, CircleCI, Azure Pipelines, Bitbucket, TeamCity
• Rich CLI tooling for custom pipelines
• Git-based test baselines and approval workflows
• Smart diffing and auto-approvals to keep noisy builds out of your way

For more, explore our Integrations Hub.

This is test automation that moves with your code, not one that slows it down.

Dev Teams Are Reporting…

Here’s what teams have seen after adopting Applitools:

• Up to 80% reduction in test maintenance overhead
• 10x faster execution across browsers and devices
• 70% fewer visual bugs escaping into production
• Faster code reviews with fewer test-related delays

Whether you’re validating a single feature branch or running thousands of tests in parallel, Applitools is built to support real scale—without compromising on accuracy.

Why This Award Actually Matters

The CIO Review award isn’t about hype. It’s a reflection of what forward-looking engineering teams need from test automation in 2025—More confidence. Less friction. AI that works.

If you’re building modern apps, you deserve modern testing. Applitools gives you a platform that evolves with your code, scales with your team, and delivers confidence without the test fatigue.

Applitools Resources for Developers

• Docs & SDKs
• Start a Free Trial
• Cory House’s Creating Automated Tests with AI webinar
• Adam Carmi’s Building No-Code Autonomous End-to-End Tests webinar

The post AI Test Automation Platform for Developers: Why Applitools Won in 2025 appeared first on AI-Powered End-to-End Testing | Applitools.