Systems | Development | Analytics | API | Testing

Reflect vision-based AI demo | Create one test for multiple platforms

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.

Maintaining compliance when adopting AI in regulated industries

Key Takeaway: Organizations in regulated industries can adopt AI without compromising compliance. Automated testing enables continuous validation of AI-enabled systems while maintaining the predictability, documentation, and audit-readiness that regulators require. In compliance-first industries, such as banking, healthcare, or telecommunications, AI adoption is rarely a simple technology decision. You are often caught between two competing pressures.

4 best API testing tools for enterprise teams

Enterprise development teams face mounting pressure to deliver secure, performant APIs while managing complex distributed architectures, strict compliance requirements, and accelerating release cycles. The API testing platform an organization chooses directly affects product quality, team velocity, and regulatory risk. Functional validation, security testing, performance testing, and CI/CD integration must all scale across global teams without introducing governance gaps.

ReadyAPI vs. Postman: Why enterprise API testing needs more than collaboration tools

Enterprise API teams rarely struggle with a lack of tools. They struggle with fragmented toolchains that promise agility but deliver chaos. According to IBM Systems Sciences Institute research, late-stage defects can cost up to ten times more to fix than early detection, while industry analysts report that tool sprawl can waste up to 30% of software expenses through redundant licensing and operational overhead.

Celebrating Datalex: Setting the standard for developer visibility in API-first development

At SmartBear, we recognize organizations that improve software quality by increasing clarity, alignment, and confidence across the development lifecycle with the Developer Visibility Award. For 2025, the award goes to Datalex, a leading airline e-commerce solutions provider. Datalex equips airlines with API-driven platforms that provide tools for driving revenue and profit as digital retailers.

SmartBear QMetry's AI-based test generation: Execute tests in minutes

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.

Reusing test cases with Call to Test | Zephyr

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.

The next evolution in QA: How AI is changing software testing

Shipping high-quality software quickly is challenging. QA professionals are facing pressure to test more, faster in a world where GenAI is pushing delivery – all while trying to cut costs. For years, manual testing and traditional automation tools like Selenium have been the standard. But both come with challenges. Manual testing alone can be slow and prone to errors, while Selenium and similar tools require coding expertise, need constant script maintenance, and are easily broken by UI changes.

How to create a test cycle | Zephyr

SmartBear Zephyr is the Jira-native test management and automation platform that empowers your team to deliver better software, faster. Organizing your testing into Test Cycles is the best way to align your QA efforts with specific sprints, releases, and versions, ensuring your team stays focused and on schedule. This short demo video guides you through the process of setting up and populating your Test Cycles. You’ll learn how to define execution windows, link cycles to specific release versions, and pull in test cases from across different Jira projects to create a unified testing effort.

Tracking testing progress with reports | Zephyr

SmartBear Zephyr is the Jira-native test management and automation platform that empowers your team to deliver better software, faster. Its reporting and dashboard capabilities provide real-time visibility into your quality metrics, so you always know the status of your release. This short demo video shows you how to navigate the Zephyr Reports tab and build customized Jira Dashboards. Whether it’s via high-level execution summaries or deep-dive traceability reports, you can track coverage and identify testing bottlenecks instantly.

Test automation using Record and Play | Zephyr

SmartBear Zephyr is the Jira-native test management and automation platform that empowers your team to deliver better software,faster. Its Record and Play capability is a fast and easy way to build, run, and review automated tests. This short video demonstrates the full flow from recording to execution, all without writing a single line of code. You'll see how testers can review the recorded steps and verify that each interaction was accurately captured, for both traceability and visibility into the automated workflow.