Test automation tutorials, frameworks, and tools — from first scripts to full CI/CD pipelines.
Azure DevOps
Azure DevOps testing gives QA teams a unified platform to manage test plans, run automated pipelines, and track quality metrics — all in one place. Whether you're migrating from another CI/CD tool or building a new testing strategy, this guide covers everything you need to know. What Is
Test Automation
Schema evolution is one of the most underappreciated risks in event-driven architectures. A producer team renames a field, removes a required field, or changes a type — and downstream consumers start failing silently or crashing at runtime. Confluent Schema Registry solves the governance problem by enforcing compatibility rules, but only
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
Testing
i18n regressions are insidious. You add a new feature in English, it ships perfectly, and three days later a German customer reports that their dashboard shows raw translation keys, or a Japanese user files a bug because dates display as American format in a newly added section. These bugs happen
Test Automation
Distributed tracing is one of the most valuable observability tools in a microservices architecture. When a request touches ten services before returning a response, traces are what tell you where the time was spent, where the errors happened, and which service is the actual bottleneck. But tracing instrumentation is code.
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
Test Automation
Some outputs are too complex to specify with traditional assertions. A PDF report with hundreds of fields, a JSON API response with nested structures, a rendered HTML email, a generated CSV — writing assertions for every field is tedious and brittle. Change one field name and a hundred assertions break. Approval
Visual Testing
Applitools Eyes is a visual testing platform that uses AI to detect UI regressions. Instead of writing pixel-level assertions, you take visual "checkpoints" during your tests, and the AI identifies changes that matter — ignoring rendering noise while catching real layout breaks. This guide covers the core concepts,