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.

Modern ecommerce applications are more than digital storefronts. They’re immersive, complex experiences designed to captivate and engage customers—customers that spent well over $1 trillion in 2024 (over $220 billion during seasonal shopping surges).

Ecommerce applications are now multifaceted ecosystems that require high reliability, fast updates, and seamless performance across devices. With features like multi-step checkout, dynamic promotions, and personalized recommendations, these applications present a unique challenge for testing teams: ensuring consistent quality in an environment of constant change.

From adaptive content testing to streamlined cross-platform validations, AI-powered testing helps software test and development teams deliver personalized, high-quality experiences to their shoppers.

Step 1: Addressing the Core Challenges in Ecommerce Application Testing

To understand how AI-powered testing can enhance quality, we first need to think about the primary complexities in ecommerce applications:

• Dynamic Content
  Promotions, recommendations, and A/B testing create a dynamic landscape where content changes rapidly, which can lead to issues in test reliability.
• Multifaceted User Journeys
  A typical user flow can include browsing, filtering products, adding items to a cart, and various checkout steps, each with variations like promotional codes and payment methods.
• Cross-Platform Consistency
  Ensuring a consistent experience across mobile, desktop, and tablet adds another layer of complexity, requiring cross-device and cross-browser validations to prevent regressions. 

These challenges make e-commerce application testing labor-intensive, especially for teams relying on traditional methods–manual or automated.

Step 2: Leveraging AI to Manage Complexity in Ecommerce Testing

Let’s explore how AI-powered testing can help address the common pain points of ecommerce application testing:

Autonomous Testing for Comprehensive Flow Coverage

Autonomous testing provides broad page coverage by automatically creating visual tests for each page from a single URL. For more complex, critical user journeys, custom flow tests blend human oversight with AI assistance to ensure thorough validation.

AI tools, like Applitools Autonomous, can learn the structure of complex user journeys—like multi-step checkouts or specific promo code applications—and adapt to new scenarios with minimal manual intervention. For developers, this means reduced time writing scripts and a faster feedback loop, as the AI detects critical paths and validates user interactions autonomously.

Test Tip: Use autonomous testing to cover frequently changing paths like checkout, where many variations (promo codes, payment methods) need to be validated with each update.

Visual AI for Dynamic Content Testing

AI-powered visual testing focuses on meaningful changes, helping to identify only the differences that impact user experience. Traditional test automation often flags minor layout shifts that don’t affect usability, leading to unnecessary noise. On the other hand, Visual AI detects layout issues that matter, minimizing false positives and simplifying testing for high-variance content.

Use Cases: Visual AI is particularly effective in handling promotional banners, personalized ads, and product recommendations. It ensures that these elements render correctly without producing redundant alerts.

Cross-Browser and Cross-Device Testing

Ensuring consistency across devices and browsers is crucial in ecommerce. Testing with a tool, teams can validate both functionality and appearance across multiple environments in parallel, enabling broader test coverage with significantly reduced runtime.

Tool Tip: For each release, use the Ultrafast Grid to run tests across all targeted browsers and devices simultaneously. By testing in parallel, you can catch visual and functional discrepancies early, ensuring consistent experiences across your audience’s preferred devices.

AI for Personalized and Edge Case Testing

AI-powered testing can adapt to personalized and localized content variations. This allows you to verify account-based and user-specific scenarios, like tailored recommendations, language translation, and geolocation-based offers. The AI dynamically generates test scenarios for real-world edge cases, validating content presentation, accuracy, and functionality across users.

A/B Testing and Experimentation

AI testing tools can run tests alongside A/B experiments to quickly validate different scenarios and identify potential issues without extensive setup or downtime. Integrated into CI/CD pipelines, AI can seamlessly support experimentation, allowing you to test new features or changes with agility.

Test Tip: Use AI for A/B testing by validating that both variations display correctly and function as expected. This can streamline experiment verification and minimize risk.

Accessibility Compliance with AI

Accessibility is key to ensuring inclusivity for all of your shoppers when you consider that 4.4% of the world’s population is colorblind. Even more shoppers have contrast sensitivity issues (we don’t know about you but some of us are just getting old). AI-driven testing identifies accessibility issues early, such as missing alt text, improper color contrast, and navigation difficulties. With accessibility testing integrated into automated pipelines, developers can confidently meet compliance requirements while optimizing the experience for users with disabilities.

Step 3: Applying AI Testing in Real-World Ecommerce Scenarios

Ensuring that every scenario receives accurate validation across all paths and user types can be hard but your team can quickly improve test coverage by integrating AI into the below scenarios:

• Multi-Path Checkout Testing
  AI testing tools validate complex checkout flows, including various payment methods, promo codes, and cart adjustments. This reduces the risk of abandoned carts due to broken checkout paths and ensures seamless user experiences.
• Product Filtering and Sorting
  Filtering and sorting are essential for user navigation. AI testing validates the functionality and accuracy of filters by testing different combinations. This ensures the results match user criteria and display correctly.
• Personalized Content Validation
  Personalized recommendations, banners, and product listings are critical for user engagement. AI-powered testing verifies that these elements display correctly based on user data, ensuring consistency without disrupting the layout.

Step 4: Getting Started with AI-Powered Testing

To maximize the benefits of AI in ecommerce application testing, you can follow these best practices:

• Integrate AI into your CI/CD Pipeline
  Embedding AI testing into the CI/CD process ensures that every change undergoes rigorous testing before reaching production. This allows for fast iteration and high-quality releases.
• Prioritize Dynamic and High-Risk Areas
  Focus AI testing on paths that involve dynamic content, personalized features, and checkout flows. These areas tend to have the highest variance and the most critical impact on user experience.
• Leverage Parallel Testing
  Run cross-platform tests in parallel to streamline testing cycles and get immediate insights into how changes impact various devices and browsers.
• Use AI for Regression and Smoke Tests
  Routine regression and smoke testing can become resource-intensive. By automating these with AI, you free up resources for more complex testing, ensuring each release is stable.

To Wrap Up…

As AI becomes an integral part of the testing process you can shift your focus toward building new features and enhancing shopper experiences by maintaining a high standard of quality:

• Reduced Manual Work and Faster Releases
  By automating repetitive tasks and handling edge cases, AI-powered testing allows QA teams to focus on high-impact scenarios, reducing time to market.
• Increased Test Coverage and Accuracy
  AI’s ability to adapt to dynamic content and complex scenarios broadens test coverage and increases the accuracy of results, ultimately reducing production issues.
• Adaptability to Ongoing Changes
  AI-powered testing lets ecommerce sites handle constant updates and seasonal changes without extensive reconfiguration so that shoppers have a seamless experience.

AI-powered testing is now an essential strategy for ecommerce test and dev teams to meet user expectations and stay competitive. You can try out these strategic steps with a free trial of Applitools Autonomous.

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