TL;DR

• Reducing test maintenance and improving result accuracy are becoming core evaluation criteria for autonomous testing platforms
• Visual validation is increasingly used to ensure UI accuracy across web, mobile, and native applications
• These capabilities help teams maintain release confidence and reduce risk in complex and dynamic, user-facing experiences at scale

Modern software teams ship faster than ever, and testing teams need tooling that keeps up. In Q4 2025, Forrester published The Forrester Wave: Autonomous Testing Platforms, Q4 2025, evaluating autonomous testing platform providers.

Applitools is named a Strong Performer in this evaluation.

The momentum behind autonomous testing

Teams now build and ship across more devices, frameworks, and release cadences. That reality pushes quality practices toward higher automation, better maintenance efficiency, and faster feedback loops.

Forrester frames this market shift directly:

“This is why we changed this Forrester Wave category from ‘continuous automation testing platforms’ to ‘autonomous testing platforms.’”

The Forrester Wave: Autonomous Testing Platforms, Q4 2025, Forrester Research, Inc., Q4 2025.

What buyers should look for in autonomous testing platforms

When you evaluate autonomous testing platforms in 2025, three practical questions usually help teams make sense of the space:

• Platform fit: Can the platform support your mix of apps and test types, plus your workflows across engineering and QA?
• AI-infused automation: Does the platform reduce authoring and maintenance effort in a way you can trust and govern?
• Testing AI-enabled experiences: As more teams ship AI-enabled features, can your testing approach keep pace with new failure modes and higher variability?

These questions help teams connect product capabilities to real delivery constraints: speed, coverage, confidence, and operating cost.

How the report characterizes Applitools

This report describes Applitools’ approach through Visual AI and ML-resilience oriented toward UI accuracy and maintenance reduction:

“(Applitools) It features Visual AI to validate UI accuracy across web, mobile, and native apps and support modern digital experiences at scale.”

The Forrester Wave: Autonomous Testing Platforms, Q4 2025, Forrester Research, Inc., Q4 2025.

It also cites a strategy emphasis on reducing maintenance and improving accuracy:

“Applitools stands out for innovation, gaining an above-par score due to its Visual AI and ML-driven resilience that reduce test maintenance and improve accuracy.”

The Forrester Wave: Autonomous Testing Platforms, Q4 2025, Forrester Research, Inc., Q4 2025.

What this can mean for engineering, QA, and design teams in 2025

Engineering teams can treat autonomous testing as a way to protect delivery speed. When teams reduce flaky failures and avoid constant test repairs, they shorten the path from code change to deployable signal.

QA teams can prioritize scalability and governance. As test suites grow, teams need tools and workflows that improve coverage without creating unsustainable maintenance load.

Design teams can connect UI intent to release confidence. When teams validate UI accuracy consistently across browsers, devices, and releases, they reduce risk in UX-heavy, customer-facing journeys.

Across all three groups, teams can get more value when they align on what “quality” means for the product and then choose automation approaches that enforce that definition consistently.

Read the report

While you’re evaluating autonomous testing priorities for 2025, read the full report to understand the evaluation criteria, methodology, and vendor profiles in context.

Forrester does not endorse any company, product, brand, or service included in its research publications and does not advise any person to select the products or services of any company or brand based on the ratings included in such publications. Information is based on the best available resources. Opinions reflect judgment at the time and are subject to change. For more information, read about Forrester’s objectivity here.

The post Applitools Named a Strong Performer in The Forrester Wave™: Autonomous Testing Platforms Report, Q4 2025 appeared first on AI-Powered End-to-End Testing | Applitools.

The new Applitools Eyes 10.22 release brings Visual AI testing directly to the tools teams already use to design and develop digital experiences. This update strengthens how teams build, validate, and release with three major enhancements:

• Scale quality without slowing down delivery using the new Storybook Addon.
• Align development and design with the new Figma Plugin, bridging intent and implementation.
• Improve traceability and accountability with smarter Dashboard Optimizations for QA and leadership.

Together, these updates make visual testing faster, sharper, and more connected across the product pipeline, helping teams fully embrace shift-left testing and collaborate around a shared baseline for visual quality.

Scale Quality Without Slowing Down Delivery: Storybook Addon

Test Where You Build with the Storybook Addon

The new Storybook Addon for Applitools Eyes brings storybook visual testing directly into the development workflow. Developers can now validate UI components where they build them—no CI/CD wait times, no switching between tools.

Core Capabilities

• Run and review visual tests directly inside your component workspace.
• Approve or reject diffs inline and validate changes locally before merging.
• Leverage higher concurrency for faster feedback.
• Catch visual issues early and prevent CI failures that slow releases.

Use Case Example:
A frontend developer refactoring a shared button component runs Eyes tests directly in Storybook to verify that the update didn’t alter its appearance across the design system. By catching issues immediately, they avoid regressions on the main branch and prevent unnecessary rework later in the release cycle.

The Applitools Eyes Storybook Addon allows teams to scale quality by expanding coverage while maintaining release velocity. By embedding visual validation where developers work, organizations can expand test coverage and reduce release timelines without compromising accuracy.

See the newest features in action during the Platform Pulse webinar, coming October 22.

Align Development and Design: Figma Plugin

Bridge Design & Code with the Figma Plugin

The new Applitools Figma Plugin connects design intent with implementation through seamless Figma design testing and design-to-code comparison. Designers and developers can now validate visual consistency earlier—and with far less manual effort.

What You Can Do

• Export Figma frames directly into Eyes for automated design-to-code validation.
• Compare design-to-design versions to manage iteration cycles.
• Maintain shared baselines so designers and developers work from the same source of truth.
• Designers can validate implementations without writing code, while developers see exactly what “done” looks like.

Use Case Example:
A designer exports a component from Figma and compares it with the implemented version in Eyes to confirm that spacing, colors, and typography match the original design. Any differences appear immediately, allowing the designer and developer to resolve them early instead of during QA or after release.

This plugin bridges design and development, reducing handoff friction and review cycles. Teams gain a single source of truth for UI quality and deliver products that match design intent from concept to code.

Improve Traceability and Accountability: Dashboard Optimizations

Context-Rich Results with Dashboard Optimizations

Eyes 10.22 introduces dashboard enhancements that bring clarity and accountability to every test result. These updates help QA engineers, SDETs, and technical leaders focus on what matters most.

Key Highlights

• Commit SHA and branch info appear directly in batch details for instant traceability.
• “Required Attention First” sorting automatically surfaces unresolved and failed tests.
• Auto-grouping mirrors your Storybook structure, making results easier to navigate.
• Streamlined triage reduces noise from passed tests and accelerates review.

Use Case Example:
A QA engineer reviewing test results spots a visual regression and uses the Eyes dashboard to trace it back to the specific commit that introduced the change. With commit and branch details in context, the engineer can alert the right developer and close the feedback loop quickly.

These context-rich results strengthen accountability and compliance across teams. Organizations gain the visibility they need for auditability—particularly valuable for industries with governance or regulatory requirements.

Explore all the updates and improvements in the Eyes 10.22 Release Notes.

Broader Strategic Impact

Eyes 10.22 delivers improvements that go beyond new capabilities. Together, these updates create a foundation for stronger collaboration and faster releases across the organization:

• Align Development & Design Around a Single Source of Truth – With the Storybook addon and Figma plugin, teams collaborate around shared visual baselines.
• Scale Quality Without Slowing Delivery – Native testing inside development tools ensures visual coverage grows with velocity.
• Improve Traceability & Accountability – Git-linked context and prioritized review queues make it easier to understand, resolve, and communicate changes.
• Drive Shift-Left Adoption Across the Organization – With validation embedded where work happens, teams can catch issues earlier and release with confidence.

Quality That Scales: Visual AI for Every Team

With Applitools Eyes 10.22, teams can test where they build—bringing Visual AI testing directly into their design and development workflows. By embedding validation inside Storybook, Figma, and the Eyes dashboard, organizations can scale software quality without adding maintenance or slowing delivery. Developers, designers, and QA now share one intelligent workflow powered by Visual AI—delivering expanded test coverage, faster feedback, and less maintenance across every stage of the testing lifecycle. Learn more about Applitools Eyes.

The post Test Where You Build with Eyes 10.22: Visual AI for Storybook & Figma appeared first on AI-Powered End-to-End Testing | Applitools.

By Anand Sundaram, CEO of Applitools

I’m thrilled to share that I’ve joined Applitools as CEO.

For over a decade, I’ve admired this company for pioneering Visual AI and transforming how teams think about software quality. Applitools Eyes didn’t just make testing faster—it created an entirely new category that fundamentally changed how organizations approach quality at scale. Today, with the Applitools Intelligent Testing Platform and our Autonomous product evolving rapidly, we’re once again reshaping what’s possible.

Why I Joined Applitools

What drew me here is the rare combination of groundbreaking technology and exceptional people. Applitools has built a platform that sits at the heart of modern software delivery, helping teams validate quality at every stage—from design to deployment—and enabling them to ship with confidence.

We’re at another major inflection point. AI is transforming how software is built, tested, and delivered—at unprecedented speed and scale. Code is being generated faster than ever by both humans and machines, and quality can’t become the bottleneck. Applitools is uniquely positioned to help organizations navigate this transformation, delivering applications and services with speed, confidence, and uncompromising quality.

Looking Ahead

Over the next few weeks, I’ll be focused on listening and learning. I want to hear from our employees, customers, and partners—what excites you about Applitools, where you see opportunities, and what bold ideas we should explore together. Your insights will shape our path forward.

This is an incredible moment for Applitools. Together, we’ll build on our momentum, deepen our impact with customers, and define the future of AI-driven software quality.

Thank you to everyone who has already extended such a warm welcome. I’m honored to lead this team and excited about what we’ll accomplish together.

— Anand

Anand Sundaram

Chief Executive Officer, Applitools

Anand Sundaram is a seasoned product and technology executive with more than two decades of experience in software quality. He has held multiple senior leadership roles and founded three startups, including RSW Software, which was acquired by Teradyne and became the foundation of the Oracle Application Testing Suite. Read more.

The post A New Chapter for Applitools: CEO Anand Sundaram on Why He Joined appeared first on AI-Powered End-to-End Testing | Applitools.

Building and maintaining automated tests has always been a challenge, especially when it comes to speed, coverage, and collaboration across technical and non-technical roles.

The release of Autonomous 2.2 helps teams reduce the time and effort needed to build and maintain reliable end-to-end tests. It combines LLM-generated test steps, automatic test data generation, built-in API validation, and visual comparisons across environments so that teams can find bugs earlier and release with more confidence.

API Step Builder: Visual API Testing, No Context Switching

Applitools Autonomous has always supported API testing, but with Autonomous 2.2, creating API tests is easier and more accessible than ever.

The new API Step Builder lets you build, run, debug, and update API calls with the UI, directly in your workflow—no code or external tools required.

• Paste in raw cURL or HTTP
• Translate into readable test steps
• Add headers, cookies, auth, body, and parameters visually
• Chain responses into UI steps via variables

Supported Features:

• Full HTTP method support: GET, POST, PUT, PATCH, DELETE, etc.
• Built-in request fields for headers, cookies, authorization, body, and URL params
• Dynamic variables: Ex. use {response.body.token} or {response.body.name} like variables in downstream steps
• Support for raw cURL or HTTP input with automatic translation to English-readable steps

Whether you’re preparing state, validating backend responses, or asserting API behavior, you can now do it all in one place—with a clean, intuitive UI that works just like the rest of Autonomous.

LLM Generated Test Steps: From Business Logic to Automation in Seconds

Write test steps the way you think—in plain English. With LLM Generated Test Steps, you can simply describe your business logic (e.g., “Select Ohio from the state dropdown menu”) and Autonomous will convert it into executable steps.

Let’s say you’re testing a job application page. Instead of clicking through each form field manually, you simply type:

Submit the form as an obscure Tolkien character

Autonomous analyzes the rendered page in real-time, understands the structure and semantics, and breaks down that one line into multiple actionable steps, such as:

• Typing the name and email address
• Selecting an appropriate option from dropdown menus
• Clicking the “Submit” button

The result? A complete, readable, and editable test created in seconds—no coding, no selectors, no extra UI to learn.

Perfect for:

• Speeding up test creation during sprints
• Empowering manual testers to create automated tests
• Eliminating writer’s block in test authoring

Join our Platform Pulse webinar on July 24 to see Autonomous 2.2 in action

Test Data Generation: Realistic Input with Zero Effort

Test coverage is only as good as the data behind it. Autonomous 2.2 introduces natural language–based test data generation that instantly produces realistic data at runtime, helping with edge case coverage and state variability.

Just say what you need:

Submit the form using random data for 90’s TV dads

Autonomous parses your request, uses LLMs to create diverse, high-quality data, and injects it directly into your test. Each run can generate fresh values—so no two executions are the same.

Cross-Environment Visual Comparisons: One Baseline, Many Environments

Ensuring parity across environments—staging vs. prod, dev vs. QA—or locales is critical. Parameterized visual baselines allow test engineers to define and run tests using variable data while still maintaining deterministic baseline comparison.

For example, you can run the same test in different plans—one with {env}=integration, another with {env}=staging—and compare visual differences across each environment without changing a single line of test logic.

• Parameters and datasets handled automatically
• Custom flows and URL List tests supported
• Visual baselines set per unique parameter set
• Abort prevention and value prompts to ensure test validity

Parameter handling is enforced at both test and plan levels—tests abort cleanly if required values are missing, ensuring reliable execution outcomes.

Tunneling Enhancements: Instant Feedback, Zero Guesswork

Tunneling just got easier and more reliable. With tunneling enhancements, Applitools Autonomous now includes improved diagnostics, real-time tunnel status, actionable error codes, and visibility for team admins—not just account owners

Users now get real-time diagnostics:

• Is the tunnel connected?
• Which hosts is it routing?
• Are there errors, and what do they mean?

Admins now get access to error codes, logs, host mapping, and verification checks—all without reaching out to support.

The Bottom Line

Applitools Autonomous 2.2 turns plain English into production-grade automation. Whether you’re testing UI, APIs, internal systems, or staging vs. production, it removes friction that slows QA teams down.

Explore the new features in the product documentation or dive into Autonomous with a free trial.

Quick Answers

The post Applitools Autonomous 2.2: AI-Driven Testing That Thinks Like You 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.

Recently, we shared that Applitools has been named the 2025 CIO Review AI-Powered Test Automation Solution of the Year. This award is more than just a badge of honor—it’s a powerful validation of the work we’ve done with our customers to redefine how software teams build and test with confidence using AI. It marks a key milestone in our mission to help organizations deliver visually perfect applications, faster and smarter than ever before.

“At Applitools, we’re not just following the AI trend—we’re leading it. With a decade of expertise, in-house AI models, and a relentless focus on trust and innovation, we provide AI-powered test automation that enterprises can truly rely on.”

– Alex Berry, Applitools CEO

Why We Won

CIO Review selected Applitools for this award based on the impact and innovation of our Visual AI platform, which enables engineering teams to:

• Accelerate test cycles by 10x through automated visual regression
• Reduce flaky tests and false positives with intelligent image-to-image comparisons
• Ensure perfect pixel-level UX across browsers, devices, and environments
• Scale test automation with code-free UI testing or advanced SDK integrations

Applitools goes beyond traditional test automation by applying Visual AI algorithms that emulate the human eye and brain, identifying functional and visual bugs that other tools miss. Our platform integrates seamlessly with leading test frameworks (like Cypress, Selenium, Playwright, and Appium), CI/CD tools, and cloud platforms—making it a powerful, plug-and-play enhancement to any QA strategy.

Real Results, Real Customers

Over 300 enterprise teams in banking, healthcare, e-commerce, and SaaS trust Applitools to safeguard their user experience with unmatched speed and precision.

Here’s what some of them are saying:

• “Applitools has helped us reduce production defects, streamline visual checks, and free up our team to focus on what humans do best—critical thinking and edge cases.” — Eric Terry, Senior Director of Quality Control at EVERSANA INTOUCH
• “Our quality increases exponentially with Applitools. We run it with every build.” — Walt Harris, Head of Quality at Medallia
• “Applitools automates our visual validation, enabling our engineers to focus their time on delivering value to our customers faster, which has a meaningful impact on our business.” — Jamie Whitehouse, Director of Product at Sonatype

These aren’t just wins for our customers—they’re proof that smarter test automation can unlock velocity, stability, and better digital experiences.

Try Applitools for Yourself

If you’re exploring how AI can elevate your testing game, now’s the perfect time to see why Applitools is setting the industry standard – Schedule a Demo or Start Your Free Trial today.

Read the article on CIO Review—Applitools: Smarter, Faster, Flawless Software Testing Platform

The post What It Means to Win: Inside Applitools’ Journey to the 2025 CIO Review AI-Powered Test Automation Award appeared first on AI-Powered End-to-End Testing | Applitools.

We’re proud to share that Applitools has been named AI-Powered Test Automation Platform of the Year 2025 by CIO Review.

Selected by a panel of C-level executives, industry thought leaders, and the editorial team at CIO Review, this recognition highlights the meaningful progress we’re making toward truly intelligent, AI-driven testing.

“We see this as validation of our vision—to move testing beyond automation and toward intelligent systems that know what to test, when, and why.” – Alex Berry, Applitools CEO

At Applitools, our mission is to help teams ship high-quality software with greater speed and confidence. From Visual AI to Applitools Autonomous, our Intelligent Testing Platform is designed to reduce test maintenance, streamline workflows, and help teams scale testing without scaling complexity.

Read the full feature article.

As we continue evolving what’s possible in software testing, we’re honored to be recognized by industry leaders who are shaping the future of technology.

The post Applitools Named AI-Powered Test Automation Platform of the Year by CIO Review appeared first on AI-Powered End-to-End Testing | Applitools.

Testing workflows just got an upgrade! Autonomous 2.1 simplifies end-to-end testing by offering faster test creation and maintenance while expanding mobile support. This release focuses on improving the efficiency and flexibility of your testing processes with features designed to simplify workflows, enhance modularity, and provide greater control.

Let’s explore the highlights of this release and how they can benefit your end-to-end testing. 

Key Features in Autonomous 2.1

Modular Test Design

Create a test once and reuse it across multiple workflows, eliminating the need to duplicate steps. This not only saves time but also ensures consistency and reduces the risk of errors. By enhancing reusability, this feature significantly accelerates test creation and simplifies maintenance, particularly for workflows shared across teams.

Use case example: Faster test authoring in Banking

For financial institutions, reusing a shared “User Login” test across workflows like “Fund Transfer,” “Loan Application,” and “Account Overview” simplifies test maintenance and ensures consistency. Autonomous 2.1 empowers teams to avoid recreating login steps for each flow, saving time and enhancing reliability.

Simplify Test Maintenance

Easily modularize your testing process by extracting repeated steps into standalone tests. This feature simplifies maintenance and improves by allowing your team to maintain one test and apply those updates to wherever you may be reusing extracted test flows. With fewer errors and a more streamlined test design, your team can focus on delivering quality faster.

Learn how to build no-code, autonomous end-to-end tests and explore some of these new features in our upcoming webinar, Building No-Code Autonomous End-End Tests

Record Assertions

Record assertions directly within your tests to ensure critical content is displayed accurately, without requiring manual scripting. This capability is especially valuable for localization efforts, enabling teams to validate translated content on multilingual websites. By reducing setup complexity, testers can achieve faster and more accurate validations.

Use case example: Maintain compliance with localization

On multilingual websites, recording assertions ensures translated content (e.g., terms and conditions, error messages) is displayed correctly. This is crucial for maintaining legal compliance and providing a seamless user experience in different languages.

Make Responsive Testing Easier

Ensure cross-device compatibility by configuring display viewport sizes—such as mobile, tablet, or even a custom size—directly in your custom flow tests. This ensures accurate validations across devices, making it ideal for e-commerce businesses and other industries prioritizing multi-device compatibility. Streamlining these configurations reduces setup time and ensures your users have a seamless experience across platforms and devices.

Pro tip: While Applitools Ultrafast Grid lets you run the same test across multiple browsers and devices, we recommend creating separate tests for specific screen sizes when unique screen elements, like a hamburger menu, appear only on certain viewports.

Flexibility in Test Configuration

We’ve decoupled the application and plan from individual tests, offering greater flexibility and a more intuitive workflow for configuring tests independently. You can now run tests ad-hoc—even trigger test execution via the REST API—and configure run properties like parameters, browsers, devices, and concurrency limits. This change not only enhances the user experience but also lays the groundwork for advanced capabilities in future releases, ensuring a scalable and adaptable testing environment.

And There’s More…

Autonomous 2.1 lets you navigate more intuitively with an updated interface reflecting application hierarchy and copy tests across applications while preserving reusable flows. For added security, sensitive test data like passwords is now encrypted and masked, and TOTP support for 2FA enables secure workflows with Time-Based One-Time Passwords.

Try Autonomous 2.1 for Free With Your Team

With Autonomous 2.1, you’ll experience faster test creation and simplified maintenance, particularly for workflows reused across multiple teams or applications. This release represents a significant step toward more efficient, scalable, and user-friendly testing processes.

Try out Autonomous 2.1 for free with your team and see how it can revolutionize your testing efforts.

The post Introducing Autonomous 2.1: Speed Up Testing with Modular Test Design appeared first on AI-Powered End-to-End Testing | Applitools.

Efficient, reliable visual testing is essential for teams working with Playwright. Applitools’ updated Playwright SDK simplifies integration, reduces setup time, and offers more powerful reporting. Let’s check out the new features and how they streamline your testing.

What’s New in Applitools Playwright SDK?

The updated SDK introduces improvements that let you set up and run visual tests more efficiently:

• Test Fixtures: Minimizes repetitive setup code
• CLI Onboarding: A new CLI that speeds up initial setup, and an example Visual AI test
• Config Object Setup: Auto-inserts Eyes configuration in playwright.config.js/ts
• Custom HTML Reporter: Extends Playwright’s report to include Eyes checkpoint images

Join the Playwright Visual Testing Best Practices webinar led by software architect and international speaker Cory House. Discover best practices for visual testing in Playwright to enhance UI consistency, swiftly resolve issues, and ensure seamless user experiences across platforms.

Using Test Fixtures for Simplified Visual Testing

Test fixtures streamline visual testing by automating many of the functions necessary for setup. The SDK now automatically handles Eyes.open() and Eyes.close() functions as well as the collection of all test results. With these automatic integrations, you can focus directly on creating test cases without the need for redundant code.

Enhanced Reporting with the Custom HTML Reporter

The HTML reporter is designed to make analyzing test results more intuitive. It integrates Eyes checkpoint images directly into Playwright’s report. You can approve or reject baselines all within the report without having to navigate to the Eyes dashboard. This enhanced reporting setup provides clear visual insights that make it easy to understand test outcomes without extra steps.

Advanced API Usage for Custom Testing

The SDK also supports advanced API usage for complex testing needs. This lets you create custom configurations and expand test cases for specific UI components. As your project grows, this flexibility enables you to scale visual tests seamlessly and ensure thorough visual validation across different scenarios.

Backward Compatibility and Migration Tips

The SDK also maintains backward compatibility, making it easy to transition from the previous SDK while retaining existing configurations. You are welcome to start running a few tests in both SDKs to verify functionality and gradually implement the new SDK on simpler tests before migrating critical ones.

Getting Started with the Playwright SDK

Getting started with the SDK is straightforward. First, install the SDK with npm install @applitools/eyes-playwright. Next, use the CLI tool to enter your API key with npx eyes-playwright setup, automatically updating the environment. The SDK sets up configurations and imports for you, even adding a Visual AI demo test in Applitools Eyes that you can execute right away.

The latest Applitools Playwright SDK provides a faster, simpler, and more insightful visual testing experience. Download the SDK, try the demo test, and see firsthand how it can enhance your Playwright testing workflow.

The post How to Use the Updated Applitools’ Playwright SDK for Efficient Visual Testing appeared first on AI-Powered End-to-End Testing | Applitools.

Applitools knows that you know how crucial it is to deliver flawless user experiences without spending time managing unnecessary test failures or constant updates. 

The latest Applitools Eyes release introduces new features designed to make your visual testing more efficient and faster. These features will make it easier to manage your tests, reduce manual intervention, and improve your test coverage–whether you’re part of a QA team, a developer, or a test engineer. 

Let’s dive into the top three features of Applitools Eyes 10.20.

Dynamic Match Level

Smart Handling of Variations

With Applitools Eyes 10.20, managing visual test results just got easier thanks to the new dynamic match level. This feature allows users to specify certain patterns—like dates, numbers, or email addresses—that can change without triggering test failures. It identifies specific text patterns that commonly vary, such as timestamps or transaction IDs, and ignores them during test execution.

By default, the system provides patterns like dates, phone numbers, and currency values, but users can also create custom patterns using RegEx. This level of flexibility is especially beneficial for those of you dealing with extremely dynamic content, such as real-time stock market data or dynamic ad targeting, where some elements should not cause a test to fail.

Example Use Case: Insurance policy numbers often follow specific formats but vary between users or transactions. During visual testing, these dynamically generated numbers can trigger false positives. With the new dynamic match level, you can now ignore the variability in policy numbers while still validating the rest of the content and UI.

For instance, a health insurance company has an online portal where customers can view their policies. Each policy is identified by a unique policy number formatted as “POL-XX-YYY” where “XX” and “YYY” are randomly generated for each customer. Testing tools that cannot handle identifying content patterns would cause visual tests to fail unnecessarily every time the policy number changes. However, using Dynamic Match Level lets this health insurance company’s visual testing ignore the “POL-XX-YYY” format in tests ensuring the system validates only significant UI changes.

Dynamic Region Selection

Precision with Less Effort

In addition to manually drawing regions, visual validation can now be anchored directly to DOM elements. As the page content changes now, Applitools Eyes adapts the validation region, ensuring tests don’t break due to layout shifts or content variations. Dynamic region selection allows you to set visual test regions by simply selecting elements on a web page instead of manually drawing regions, saving you time and improving accuracy.

The new dynamic method uses the underlying DOM structure, allowing for automatic region adjustments as the page content changes. If the layout or size of the elements shift, Applitools Eyes automatically adapts to the change without breaking the tests.

Why it matters: This feature is particularly useful for those of you who have apps with extremely dynamic content, where visual elements often change. Enterprise SaaS to media outlets will see the benefits of using dynamic region selection since they no longer have to worry about small shifts in UI elements, reducing the need for constant manual updates and cutting down test maintenance time significantly.

Insights Dashboards

Quantify Your Testing Success

One of the more analytical features added to Applitools Eyes 10.20 is the new Insights Dashboards for testing ROI, which provide insights into the effectiveness of your automated maintenance efforts. These dashboards display critical data on how much time you’ve saved using Applitools’ automated visual testing and maintenance tools.

The dashboards break down the number of visual validation results automatically accepted by Applitools and track the time saved through automated maintenance. This is based on the assumption that manually reviewing a page takes about two and a half minutes. By quantifying this, the dashboard helps you understand the real-world impact of automating your visual testing workflow.

Pro tip: With Insights Dashboards, you can highlight specific wins, such as reducing manual test reviews or cutting test maintenance time. If you notice test maintenance time decreasing steadily, it’s a good sign your visual testing strategy is becoming more efficient. This data can be shared during quarterly business reviews with leadership or when advocating for further automation resources.

Additional Improvements

The 10.20 release also introduces faster load times on the “Tests Requiring Attention” page—especially beneficial for teams working with large test suites. The enhanced GitHub integration means you can track baseline merges directly within the baseline history page, minimizing manual effort and improving workflow efficiency. Visit the Applitools Eyes 10.20 release notes to see everything that’s included.

To Wrap Up…

One of the biggest hurdles in the day-to-day work for anyone involved in QA is dealing with flaky tests caused by constantly changing text, like dates or order numbers, and shifting UI elements, like buttons that move slightly depending on screen size. Your users expect flawless experiences. 

The Applitools Eyes 10.20 release is packed with features that simplify and streamline the visual testing process, from dynamic region selection to enhanced match levels and improved performance. These updates will help your team reduce manual test maintenance, increase test coverage, and measure the ROI of your testing efforts more effectively. Whether you’re managing complex web applications or handling high volumes of test data, these features are designed to make your workflow faster and more efficient.

The post Easier Test Maintenance for Dynamic Content with Applitools Eyes 10.20 appeared first on AI-Powered End-to-End Testing | Applitools.

We’re excited to announce a major upgrade to the Applitools Intelligent Testing Platform: Autonomous 2.0! Packed with powerful new features and enhancements, Autonomous 2.0 enables any team member – regardless of coding skills – to create, execute, and analyze automated tests.

One of our goals with our AI-powered end-to-end testing platform is to provide a flexible test authoring experience that ranges from fully autonomous to describing steps in plain English with AI assistance to no-code recording to coding in your preferred language and framework. This gives your teams the most comprehensive test creation options of any tool on the market while enabling them to leverage any existing tests and automation they’ve built out. We believe utilizing AI in test creation, validation, maintenance, and analysis is the only way to maximize test coverage for complex, modern apps and keep pace with new code deployments – especially now with AI coding assistants.

Autonomous 2.0 is delivering on that goal in a way that no other AI-powered testing platform can: by combining new GenAI technology and proven no-code approaches with our own Visual AI that we’ve iterated on for over 10 years and trained with over 4 billion application images. It’s proven AI testing technology that’s been catching and pinpointing visual and functional bugs for our customers for years. Add in self-healing and ultrafast, stable execution over thousands of combinations of browsers, devices, and screen sizes, and you see why Applitools Intelligent Testing Platform is unmatched in AI-powered end-to-end testing.

What’s New in Autonomous 2.0?

AI-Assisted Interactive Custom Flow Authoring

With AI-assisted interactive custom flow authoring, you can write test steps in plain English, record them in an interactive browser, and debug in real-time – all on the same screen (no browser extension needed). Test steps are output in plain English that can be edited later, and all written steps are checked by our  auto-correcting language model, ensuring smooth, efficient test authoring without the hassle of syntax errors.

Expanded Functional and API Testing Capabilities

Everything you can do with coded tests can now be done by describing the test steps in plain English. That includes Visual AI assertions, comprehensive functional assertions, HTTP request initiations, and effortless dynamic data handling. This upgrade significantly boosts your functional and API testing capabilities, all without having to write a single line of code.

Easier Results Analysis and Test Maintenance

Analyzing test results and maintaining tests is now easier than ever. Our improved UX provides a seamless experience, from high-level analysis of complete test plans to detailed breakdowns of individual test steps. Plus, our platform automatically adjusts baseline regions following application changes, reducing the need for manual adjustments.

Feature Highlights of Autonomous 2.0

Interactive Custom Flow Test Authoring

• No-Code Test Authoring: Record UI interactions in an interactive browser and describe them in plain English.
• Real-Time Debugging: Identify and fix issues on the fly with our interactive debugging tool.
• No Local Installation: Author and debug tests on the same infrastructure they’ll execute on.

Language Model Enhancements

• Auto-Correct and Simplify: Our language model auto-corrects and simplifies step descriptions for better readability and consistency.
• Break Down Complex Commands: Simplifies complex commands into more manageable steps.

Functional Data Assertions

• Verify Dynamic Data: Combine visual and functional assertions (non-visual) to verify text, numeric values, element visibility, and more.
• Boolean Operators: Use logical operators to create more robust test conditions.

API Call Initiation

• HTTP Requests: Initiate HTTP requests with custom headers and cookies, and store responses for use in later test steps.
• Application State Management: Reset application states before or after test execution without complex UI flows.

Enhanced Results Review Experience

• Improved UX: Enjoy an interactive summary of test statuses, detailed issue breakdowns, visual diffs, and more.

Ready for an AI-assisted testing challenge?

We’re confident that Autonomous can enable any of your team members to create, execute, and analyze tests. Don’t believe us? Have any member of your team who doesn’t write automated tests today sign up for a free trial of Autonomous (e.g. manual testers, designers, product owners, business analysts), and see what they can contribute to your test coverage. Guaranteed you’ll be amazed!

The post Autonomous 2.0 is here! AI-Assisted Interactive Authoring and More appeared first on AI-Powered End-to-End Testing | Applitools.