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Make e2e Testing Easier With the Right Tools

Make e2e testing faster: prioritize high-value user journeys, cut duplicate checks, use cloud infrastructure, and let AI agents write and maintain tests.

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You make end-to-end (e2e) testing easier by testing fewer, higher-value journeys and pushing the rest to faster unit and API checks. Unit and API checks cover the same business logic in seconds, while a full UI-driven e2e run takes minutes and multiplies the points where a test can fail.

This guide covers prioritizing journeys, cutting duplicate coverage, cloud infrastructure, cross-browser tools, visual testing, CI/CD integration, reporting, common approaches, and how AI agents now assist e2e testing.

Key Takeaways

  • Prioritizing the highest-value customer journeys, such as checkout or registration, for end-to-end (e2e) coverage catches more real risk per test written than testing every possible flow.
  • Business logic already verified at the unit level does not need a second, slower check inside an e2e test.
  • Cloud test infrastructure removes the cost and setup time of maintaining physical devices and browsers for e2e runs.
  • Visual regression testing catches layout and rendering issues that functional UI tests and manual review often miss.
  • Running e2e tests on a schedule, such as part of a nightly build, gives a team an early warning when a customer journey breaks.
  • AI agents can now author and repair e2e tests directly from a plain-language instruction, cutting the manual work of writing and maintaining selectors.

How to Make e2e Testing Easier and Faster to Execute

Analyze the value e2e tests will bring

While having the previously mentioned in mind (e2e are expensive and slower than other tests) we should take heed to prioritize which part of our application under test needs to be covered with e2e tests, and which parts can be covered at lower test levels. When balancing the costs and the potential return on the investment, we should have the customer in mind – doing extensive e2e testing of the FAQ section will not be as valuable as covering the whole checkout, or the entire registration journey with e2e tests. Having the most important customer journeys monitored and covered with e2e tests will add a significant level of security – an alarm that will go off when something in this journey fails. This is why these kinds of tests need to be run on a regular basis, such as a part of a nightly build, for example. Also, when deciding which journeys to automate, you should talk to the stakeholder and your team members, especially with the subject matter experts (or the domain experts) and with technical team members, such as other automation engineers and the developers, to reach informed decisions regarding the e2e coverage.

Avoid duplication – test whatever is possible at lower levels

You don’t really need two e2e tests checking parts of the same flow – this should be avoided, if it’s at all possible. It is much cheaper to check all the business logic at the unit level and to cover more complex business rules with API automated checks – which are way faster than checking the same functionality using the UI. Keep a low number of e2e UI tests, check only what gives a lot of value to the customer.

Utilize cloud infrastructure to reduce costs and increase speed

The pros of using cloud infrastructure, over on-prem, are the ease of configuration and the availability of resources ( almost infinite). Additionally, the prices of cloud services have been dropping, as there are more competing players in the cloud arena. For this, you can utilize a cloud-based test orchestration platform like TestMu AI’s HyperExecute. You can also use cloud containers to manage and organize your tests better and make executing times faster as well! There is also an on-prem enterprise option for this feature, as some organizations cannot use the cloud due to legal restrictions.

Use tools like TestMu AI to cover multiple browsers

The need to cover multiple browsers or mobile platforms can make your testing efforts very time-consuming. Just imagine, you have a fairly complex web app that needs to be tested on all the modern browsers to make sure all the important features work. Such sort of testing should be made faster with the use of proper tools. These tools can be particularly helpful if you need to support multiple versions of different browsers, and operating systems and to check against multiple different screen resolution sizes for this u need to perform online browser testing.

It can be very beneficial to be able to test on real physical hardware, without having to buy a whole bunch of dedicated testing devices – you would practically just rent the usage of these for a certain period of time. Another important feature to look for is if the cross-browser testing tools have native integrations with the developer tools, in the supported browsers, so you can debug and test more thoroughly. Other uses for such tools are the ability to test on the local host, if you have an app in local development, or to test geolocations with a different IP address. Also, make use of browser extensions for cross-browser testing tools.

Taking screenshots automatically, in different browsers you test on, is yet another handy feature that comes with these kinds of tools. TestMu AI comes with a browser of its own – LT Browser which comes pre-packaged with advanced features like creating custom resolution sizes of your own for testing the responsiveness of your web apps.

Leverage existing tools for visual testing

Visual regression testing can catch a lot of issues that are either very hard to detect using tools like Selenium, or not possible with regular UI functional testing tools. Plenty of customer-impacting issues can be prevented if caught by doing visual testing. This can be done in the cloud as well with TestMu AI’s visual testing tool.

Issues such as wrong element colors, various size-checks, padding validation, layout issues (such as responsiveness), text-related issues, and element positioning, can be good candidates to check using Pixel-by-Pixel comparison, which can be run across well over 3000 desktop and mobile devices. Automated visual checks should be run in parallel, to speed up your release cycles and to make the test execution a lot faster while cutting down the feedback loops considerably.

Visual regression tests are also great candidates to be included in the CI/CD pipeline. Another useful practice would be to leverage extensions and integrate them into the other tools you’re using.

Want to compare your screenshots against the baseline to identify visual changes and deliver pixel-perfect websites? Check out our visual comparison tool.

Include e2e tests into your build pipeline early

As soon as you have at least one working e2e test you should include it into your CI/CD pipeline, or make sure to include the test execution as part of your build process if you have scheduled releases.

Integrate reporting tools with your e2e tests

Given the costly nature of the e2e tests, having good and detailed reporting in place is a great way to get additional value from your e2e tests. There are many libraries that allow you to access their reporting capabilities (usually via an API) from your automation framework. Examples would be ReportNG, Allure reports, Report Portal, etc. These libraries can generate a lot of visually appealing reports, like pie charts and status bars for your testing, so you can visualize how many of your tests are passing, failing, being skipped, etc.

For failing tests you can usually drill into the details. But, for the non-testing folks, this info is usually not very interesting. Do remember, it can be very valuable for the testers, maintaining (so they can debug the failing checks and fix them or report bugs) the automation solution, and for the developers as well – if you have them involved in the automation process, which is almost always a good idea to do!

Most modern test management tools also have extensive reporting capabilities for your test execution.

Another great practice is to have the reporting for your automation connected to your most common communication channels, such as having a Slack notification, a Teams message, or similar. It’ll help you be on top of things like— when tests in the build pipeline fail, what is the status of the test execution, etc. In this sense, your e2e tests (especially if you have them configured to be, for example, executed repeatedly – like as a part of a nightly build) can act as an alarm – warning you in time when an important feature stops working or misbehaves. It’s always better to find an issue internally and fix it than to have the customer report it to your support department because it could mean losing that customer, and many others who had the same issue. It is a known fact that due to many competitors in the market today, customers have a lot of options to choose from, meaning that if they have an issue with using your app, a lot of them won’t even tell you about it, they will just move to the competitor. So, always have the customer’s satisfaction as your main priority!

Key Takeaway: End-to-end testing gets faster and cheaper when teams prioritize tests by value, avoid duplicating lower-level tests, run on cloud infrastructure across browsers, add visual testing, join the build pipeline early, and send test reports to team chat.

Common approaches to e2e testing

Here are some of the most important things to consider when doing e2e testing.

  • Make sure that your app is deployed properly and is testable This will speed up testing and prevent some issues from happening, like problems with the test environment. For these things, you can use cloud services to make your life a bit easier.
  • Make sure that other testing activities are completed— all the features have been already tested in isolation, integration points have been tested and all unit tests are passing. This is done to make sure that the system is working well and all the unique pieces are connected together and interacting as they should. Do e2e testing after all the other stages of testing have already been completed. That means you should wait until all the individual components have been tested.
  • Keep the end-users experience in mind. Talk to the customer, if possible, and connect with the product owners and technical support people to learn more about how the real users use your app. With such knowledge in mind, your e2e tests will be more valuable and successful.
  • When it is time for e2e testing, make sure you have a process in place that is accepted by everyone. Avoid significant deviations from the testing process, as these can lead to slower releases, and can cost additional time and money.

Key Takeaway: Before end-to-end testing starts, confirm the app is deployed and testable, finish unit and integration testing, learn how real users use the app from product owners and support staff, and follow one testing process that everyone accepts.

How Do AI Agents Change e2e Test Automation Now?

AI agents now write and run e2e tests directly: they turn a plain-language instruction into browser actions and adapt when the page changes, instead of failing outright.

  • Model Context Protocol browser control: Playwright's MCP server exposes a page's accessibility tree instead of a screenshot, so an agent reads element roles and labels and clicks or types through exact reference IDs instead of guessing pixel coordinates. This removes the ambiguity that made older screenshot-based agents unreliable on real pages.
  • Self-healing locators: When a DOM change breaks a selector, an AI-driven runner re-resolves the element from its role and text instead of failing the run outright, cutting the maintenance load that normally makes e2e suites expensive to keep passing.
  • Natural-language test authoring: A tester describes a journey, such as log in and add an item to the cart, and the agent plans and executes the browser steps, so authoring a new e2e test no longer starts with writing selector-based code by hand.

These agents still need the same discipline as any e2e test. Run them against the customer journeys that matter most, keep the assertions specific, and continue pairing them with faster unit and API checks for everything else.

Key Takeaway: AI agents now author end-to-end tests from plain-language instructions, read the accessibility tree through the Playwright MCP server instead of pixel coordinates, and re-resolve broken locators, but still need specific assertions on key customer journeys.

Conclusion

In order to test end to end, it is crucial to follow the agreed-upon set of practices – to make sure that testing is doable and cost-effective.

What is the goal behind an e2e test? Try to think like the user, imagine that you are using the app for the very first time, and ask some questions. Is the app easy to navigate and are all the important user options easily available and accessible? Is the journey evident to the user – the features are pretty self-explanatory to use. Can the user get from point a to point b – like completing the registration or the checkout process? Have the acceptance side of testing in mind as well and create your tests according to that.

Try to cover with e2e tests the parts of the app where a lot of issues are expected, and the most important parts for the customer. Try to use the risk-based approach here to determine what to cover. There are decision tables you can use to visually determine how risky a certain feature is.

Do not test for exceptions when doing e2e testing, this can be covered at lower test levels, to save resources and test faster.

Maintain your e2e test set regularly – since e2e tests cover big parts of the app, they are usually longer and more complex than other tests. If one e2e test can be logically divided into two or more tests, then you should do that, since with every new big step in the test (like an entire screen or page in the app) the complexity of the test will increase significantly, and it will be harder to debug it as it will have multiple points of failure – which is one of the biggest pain points of having e2e tests.

Make sure your tests are well organized and use consistent naming – it’s best to make it obvious just by reading the title of the test to understand what it does.

Have pre-defined test setup and teardown – e2e tests will require test data and will usually write to the database as well., Do make sure that you clean up as you might risk having duplicate data, which can result in bugs that could have been avoided. Eg like primary key violations if you try to, say, register a test user with the same email twice.

Plan your e2e tests well, and as early as possible. The e2e tests which you have automated should also be checked manually by a real human, as there are a lot of issues the automation will ignore – it will only check what you tell it.

Also, use your e2e tests to speed up your exploratory testing – if you have an e2e test that fills out a lengthy form you should use it to save time.

Depending on the nature of your project, you might want to treat end-to-end testing as an essential part of the build pipeline. Prepare e2e tests as early as possible, invest time in them, and make sure you have the resources needed to have the ability to e2e test even before the feature goes live in production. Good luck!

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Author

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Mirza Sisictester

Blogs: 4

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Mirza Sisic is a software testing and quality engineering professional with 7+ years of experience across manual testing, test automation, and QA consulting. He specializes in functional, exploratory, API, and cross-browser testing, with hands-on experience using Selenium, GraphQL testing, BrowserStack, SQL, and defect management tools. Mirza works as a QE Consultant at TestOps and contributes to the testing community as a technical writer and instructor, creating articles, tutorials, and conference sessions focused on practical software testing techniques.

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