#1 Spur Alternative for AI Testing

TestMu AI, if what you want is Spur's authoring experience without Spur's execution ceiling. KaneAI gives you the same natural-language, no-selector authoring that Spur users like, then runs those tests against 10,000+ real devices and 3000+ browser and OS combinations rather than simulators and viewport presets. It also exports to Selenium, Playwright, Cypress and Appium, so the tests stay yours. If your single biggest pain is autonomous discovery of unscripted e-commerce paths, Spur is a genuinely strong fit and we say so below.

No, and Spur's own documentation is explicit about it. Spur's mobile page defines its device cloud as simulators for iPhone 12-15 Pro, Pixel 6-8 and mid-tier Samsung phones, and its mobile prompting guide states that tests run on an iOS Simulator or Android Emulator. Marketing copy on the same page says real device, which contradicts the documented spec. Simulators cannot surface real-hardware defects: thermal throttling, real network conditions, OEM skins, camera and biometrics, or true GPU rendering. TestMu AI runs the same natural-language tests on 10,000+ real devices.

Not in any way Spur documents. Spur's Viewports feature configures screen dimensions and a user-agent string, with presets such as MacBook Pro 13, iPad Pro, iPhone 14 and Galaxy S24. A spoofed user-agent is not a rendering engine, and no option to select Firefox, Safari, WebKit or Edge appears anywhere in the docs. That means engine-specific rendering and JavaScript defects are out of reach. TestMu AI covers 3000+ browser and OS combinations on real engines.

Spur's script bridge only points inward. Script-to-Test imports Playwright, Selenium, Cypress and Puppeteer into Spur steps, which is a real strength, but no export path to any framework is documented, so tests authored in Spur appear to live only in Spur. KaneAI exports to Selenium, Playwright, Cypress and Appium, so generated tests land in the code ecosystem you already own instead of a proprietary format. See automation testing for the wider platform.

At autonomous exploratory testing of unscripted e-commerce paths. Spur's agents are architected to discover new paths on every run rather than replay a fixed plan, with no XPaths, no selectors and a fresh AI pass over the page each time, and that is deliberately tuned to the messy realities of a storefront: cookie banners, promo interstitials, items going out of stock mid-flow, and locale-specific checkout. Their public Bug Book is concrete evidence rather than marketing, showing a search for gaming console returning accessories, a Best Sellers header link returning a 404, and an AI chat replying in English instead of French. Their dedicated localization agent, covering currency symbols, regional pricing logic and date, number and address formats per locale, is more specialised than anything TestMu AI markets by name, and their Script-to-Test importer covers four frameworks where TestMu AI documents no equivalent. For a DTC or e-commerce team whose top pain is finding conversion-killing bugs nobody wrote a test for, and who is content with emulated coverage, Spur is a genuinely strong and arguably better-targeted choice.