Systems | Development | Analytics | API | Testing

In this video, you’ll discover how SmartBear QMetry's AI-powered test generation automatically transforms requirements into complete, executable test cases within minutes. Watch as we demonstrate test generation cases from Jira, Rally, and Azure requirements, demonstrate how to refine existing tests, and save your teams hours of manual work.

Regaining control of your Java release cycle can dramatically improve build stability, security, and developer productivity. In this video, Perforce OpenLogic experts share practical guidance on Java dependency management, including how to audit dependencies, govern their use, and reduce risk in complex builds.

Navigating Spring dependencies can be challenging. As many Java developers know all too well, the biggest risk in maintaining legacy Spring applications isn’t in the code you wrote — it’s in the web of dependencies you inherited. Hidden deep in your build files, these libraries can make or break your application’s ability to stay secure and up to date. In this video, OpenLogic experts explain how transitive dependencies in older versions of Spring Boot and Spring Framework can negatively impact your application's stability and security.

As AI and BI projects race to deliver quick wins, many organizations overlook what truly determines long-term success: the people behind the data. In this episode of The AI Forecast, Jen Stirrup, author, speaker, and founder of Data Relish, joins host Paul Muller to dissect the difference between data literacy (reading the numbers) and data fluency (speaking the language of business). Jen challenges the industry’s obsession with AI FOMO, warning that rushing to deploy models on shaky cultural foundations is the fastest way to derail ROI.

Discover how Nasdaq uses data platforms at a massive scale to power markets and prepare for AI. Angie Ruan, Nasdaq’s CTO of Capital Access Platforms, explains how large-scale data systems support market integrity, transparency, and decision-making across public and private markets. She defines what it really means to be AI-ready, how leaders should modernize data platforms, and how market fundamentals help separate real AI value from hype.

SmartBear Zephyr is the Jira-native test management and automation platform that empowers your team to deliver better software, faster. While Zephyr Standard is a powerful foundation, Zephyr Advanced takes your automation to the next level.

SmartBear Zephyr is the Jira-native test management and automation platform that empowers your team to deliver better software,faster. By creating test cases, linking them to user stories and requirements, and monitoring progress all within Jira, you can unify your testing and development efforts. This short video demonstrates how to use a test case in Zephyr, known as the “Call to Test” capability. You’ll see how you can reference and reuse test cases across multiple Jira projects, no matter the test case type.

Learn how to add a new project to Bitrise CI with Senior PM Jeremy Palmer: selecting privacy settings, connecting your Git provider (like GitHub), and setting up webhooks to automatically trigger builds. Jeremy also covers the authorization steps, selecting a branch, and the auto-detection of your project's configuration settings.

In this video, Ben Boral introduces the Bitrise workflow editor, a GUI abstraction layer built on top of the YAML file that defines CI pipelines and workflows. The Workflow Editor makes users more productive, helps avoid errors, and allows for easily defining and maintaining workflows. The workflow editor generates syntactically valid YAML and is available in both online and local versions, providing the benefits of "pipeline as code" with greater ease of use.

Tightly coupled request-response create cascading failures. Brady at Busie, explains why moving to an event-driven architecture was the only way to guarantee an “always-us” system for mission-critical operations.