Carbonate

Automated tests that understand your appCarbonate lets you create auto-healing end-to-end tests with no coding.Get Started FreeContact us->Record your tests by using your application in our remotely controlled browser.Carbonate's unique AI engine will generate auto-healing test scripts from your recorded tests.Run your tests using our cloud test runner or download for use within your own CI.Create tests in secondsCarbonate lets you create tests simply by using your applicationNo coding required, nothing to install, simply use your application like a real user would.Carbonate will automatically detect your interactions and record them as part of your test.Our intelligent AI recorder lets you create tests in seconds, without having to write any code.Your applicationMy todo listBuild a todo app.Test my todo app.|Detected: Type "Testing" into the todo fieldDetected: Click on the add task buttonDetected: Click on the clear task iconTests that heal themselvesWhen your application changes, Carbonate automatically updates broken testsTesting based on HTML structure can lead to tests that break after every change.By recording tests in plain English, Carbonate can automatically react to changes in your application.Carbonate understands your application; working out changes to your application just like a real user would.Loading...|Click on "Get Started" in the menuClick//a[contains(text(), "Get Started")]//nav[contains(@class, "menu")]Fast results, without the hassleRun your tests instantly in the cloudConsoleNetworkGET /login00:57:36.789ZNetworkPOST /api/login00:57:36.789ZNetworkTypeError: Failed to fetch00:57:36.789ZNetworkExpected element to contain "Success" but it contained "Error"00:57:36.789ZEnd-to-end testing environments are often slow, painful to setup... and even worse to debug.Carbonate runs your tests in parallel in the cloud, providing you with video playback, network requests, and console logs so you can see exactly what's happening.No more guessing what went wrong.No vendor lock-inYour tests are a valuable part of your application. We generate tests for PHP, Python and JavaScript so that you can choose to run your tests on your own CI/CD platform*.PythonNodePHP@carbonate.test() def test_select_two_from_the_dropdown(self): self.carbonate_sdk.load('https://carbonate.dev/demo-form.html') self.carbonate_sdk.action('select Two from the dropdown') self.assertTrue( self.carbonate_sdk.assertion('the dropdown should be set to Two') ) *Coming soontest("Select two from the dropdown", async () => { await sdk.load('https://carbonate.dev/demo-form.html'); await sdk.action('select Two from the dropdown') expect( await sdk.assertion('the dropdown should be set to Two') ).toBe(true); }); *Coming soonpublic function testSelectTwoFromTheDropdown() { $this->carbonateSdk->load('https://carbonate.dev/demo-form.html'); $this->carbonateSdk->action('select Two from the dropdown') $this->assertTrue( $this->carbonateSdk->assertion('the dropdown should be set to Two') ); }*Coming soonFrequently asked questionsDo I need coding knowledge to use this product?Not at all! We've designed Carbonate to be as easy to use as possible, so you can get up and running in minutes.Will this slow down our test suite?Carbonate only uses AI to generate your tests. The subsequently generated tests will run as fast as traditional, hand-written, tests.How do I debug no-code tests?All test runs are recorded along with their network, and console logs. If that's not enough, you can run the test live in our recorder and debug the test interactively so you know exactly what's going on.What if my page is dynamically rendered?No problem, as long as your HTML has some semantic meaning, Carbonate can work out the difference between a change in UI and simple rendering differences.How do I record a test on my local machine?We're working on making this easier, but for now, you can use ngrok's developer preview feature to record your test on your local machine.Does it work with shadow DOM?Yes, we've built-in full support for shadow DOM and many other browser features that are troublesome to test.Try it for yourself by running a simulated test:Action:Loading...Simulated browser*This is a smaller model for demonstration purposes, for the best results try the real thing.Test your code.Not your patienceGet Started FreeContact us-> --- PricingGet started for free - all plans include a 30 day trial.Billed MonthlyEnable to see yearly pricesBilled AnnuallySolo$59/moFor freelancers and solopreneurs.Features include:Cloud test recorderBasic AI selectorsBasic AI actionsComing soonMost PopularGrowing$119/moFor growing businesses.Features include:All features in SoloAdvanced AI selectorsAdvanced AI actionsCloud test runsTest run recordings (30 days)Start free trialEnterprise$359/moFor established businesses.Features include:All features in GrowingPriority supportCross browser testingComing soonHave a question about pricing?Contact us --- Our missionTo make the web a slightly less buggy placeAutomated testing is a necessity of modern development, but unfortunately, a lot of companies still opt to perform end-to-end tests manually. It's not hard to see why: high upfront development costs, flaky tests, and regular rewrites are a hard sell.Existing tools to automate end-to-end testing often come with high costs, confusing interfaces, and walled gardens - factors that are often not feasible for smaller teams.Whether you're a freelancer, startup, or multi-billion-dollar FAANG corporation; it's our mission to make automated end-to-end testing work for everyone.Our JourneyIn previous businesses, we worked with mission-critical applications that had lots of moving parts. Existing attempts to automate end-to-end testing required a huge amount of development time and drastically slowed down development velocity when making changes. Leveraging our in-house Machine Learning experience, we set out on a quest to see if we could resolve these issues.Our early attempts revolved around training AI models to learn how to use applications through trial and error. The model would learn the application's user interface, rooting out edge cases and flagging when it could no longer perform previous functionality. While it was fun to watch, this self-exploration approach couldn't guarantee that we were testing the aspects of the application that truly mattered. Back to the drawing board for us.Thankfully, new state-of-the-art natural language models emerged, giving us access to models that understand the semantics of both instructions and user interface. Taking inspiration from userstory based testing tools such as Behat and Cucumber, we adapted our approach to run tests based on simple language instructions and suddenly everything started to fit into place.Slowly over time, Carbonate emerged as a powerful yet simple to use tool that revolutionised the way we tested our apps.Proudly bootstrappedVC money is great for quick growth and huge exits, but unfortunately it can sometimes force companies to put their profits before the product. Being a product-driven company, we're committed to building the best possible products, even if that means taking the slow route to get there.We hope you join us on this journey to make the web a slightly less buggy place.Test your code.Not your patienceGet Started FreeContact us-> --- BlogIn this blog you'll find product updates, AI news, tutorials, engineering deep dives and basically anything we think you'll find interesting.AllProduct updatesTestingAI/MLTutorialsOpinionNewsThe testing pyramid has served as the de facto blueprint for building a robust automated test suite, but modern architectures have shifted this balance.It's easy to focus on shipping features and forget about the quality of our codebase. Quality metrics offer a way to objectively measure and improve your software's health - stopping problems before they become too costly.Code coverage is often treated as the ultimate measure of test quality, with many teams pursuing the elusive 100% coverage target. However, these metrics can be misleading when not properly understood.When it comes to testing, functional testing and non-functional testing are two sides of the same coin. Each plays a critical role in ensuring software quality, but they differ significantly in their approach and benefits.Recent research from GitClear and Alloy.dev has uncovered concerning trends in code quality as AI coding assistants become increasingly prevalent in software development. How will this affect the future of software development & testing?In this tutorial, we'll guide you through the process of migrating your test suite from Jest to Vitest. We'll cover the key differences, necessary configuration changes, and how to update your tests for compatibility with Vitest.123