AI Testing
Traditional test automation has a cost problem: it requires skilled automation engineers, significant time investment, and ongoing maintenance. Autonomiq (acquired by SAP in 2021, now part of SAP's testing portfolio) tackled this with scriptless, AI-driven test automation — letting teams create and run tests using natural language without
Test Automation
Autify Web is the browser automation half of the Autify platform. It covers the complete lifecycle of a UI test — from recording your first interaction to running a full regression suite in CI on every pull request. This post goes deep on the mechanics: how recording actually works, what assertion
Test Automation
Autify and Testim both position themselves as AI-powered no-code test automation platforms. Both use machine learning to make tests resilient to UI changes. Both target QA teams that want to reduce manual maintenance burden without switching to code-first frameworks. But their design philosophies, execution models, and team
Test Automation
QA teams are constantly caught between two realities: testing backlogs grow faster than automation engineers can write scripts, and every UI change breaks half the test suite overnight. Autify was built to address exactly these pain points — a no-code AI-powered test automation platform that lets anyone on the
Test Automation
Mobile app testing has always been harder than web testing. You are dealing with two major platforms (iOS and Android), dozens of OS versions, hundreds of device models, and a recorder workflow that must work with native UI components rather than HTML elements. Autify Mobile was built to bring the
Test Automation
The most expensive part of UI test automation is not writing tests — it is keeping them working. A study often cited in the QA industry estimates that 25-30% of automated test maintenance effort goes to updating tests after UI changes that have nothing to do with application bugs. An
Regression Testing
Regression testing — verifying that existing functionality still works after a change — is the unglamorous backbone of software quality. It's the testing that happens every sprint, every deploy, every time someone changes a piece of code that might have touched something else. The problem: regression testing at any meaningful
No-Code Testing
Most founders and product teams assume that app testing requires writing code. They picture Selenium scripts, Cypress configuration, and engineers maintaining brittle test suites. So they either skip testing or hand it off to developers who already have too much on their plate. There's a better way. You
No-Code Testing
User flow testing is the practice of verifying that your users can successfully complete key journeys in your application — from sign-up through onboarding to their first meaningful action. It's the most important type of testing for most web apps. The traditional approach requires coding: you write Playwright
QA
Quality assurance has always been someone else's job — handed off to QA engineers, or left to developers to figure out. But here's the reality: product managers understand the user flows better than anyone. You know what needs to work. You know what would break the experience.
QA
You launched your app. Users are signing up. Things are generally working — but occasionally something breaks, and you find out from a frustrated user in your inbox, not from a monitoring alert. You know you should "have QA," but you're not sure what that means in
No-Code Testing
The no-code testing market has exploded over the past few years. What was once a category dominated by expensive enterprise tools has become a crowded space with options ranging from free open-source projects to six-figure enterprise contracts. For teams trying to evaluate their options, the sheer number