Systems | Development | Analytics | API | Testing

Pipelines allow you to organize your CI/CD tasks into modular workflows that can run sequentially or in parallel. In this demo, Senior Solutions Engineer Ben Boral shows a simple pipeline that runs a fast linting check first, then executes two test suites in parallel to reduce wall clock time, and gates the build step on the success of those tests - speeding up the feedback loop and avoiding wasteful tasks.

In this demo, Naveen Nazimudeen, Solutions Engineer at Bitrise, explores the Build Details page and shows how to quickly get to the root cause of a failed build. He looks at key tabs like Build Logs, Tests (including flaky test detection and quarantine), Artifacts, Build Cache, and VM Monitoring for performance and out-of-memory debugging.

Create a single mobile test that runs reliably on both iOS and Android - without building separate tests per platform or relying on brittle, platform-specific locators. In this high-level demo, we use SmartBear Reflect’s vision-based AI to record a typical workflow in a sample coffee app, where each step is backed by visual context and intent. Then we run the same test across a mix of Apple and Android devices, including an iPhone, to show how Reflect adapts to the environment at runtime and helps reduce flakiness and false positives.

AI slows testers down when it’s added without a tester-first experience. Testers naturally question coverage and intent, so Katalon designs AI around real testing workflows to boost productivity instead of creating friction. — Alex Martins, VP of Strategy at Katalon Follow Katalon for more insights in our series!