Are you still writing 15+ lines of code for a single Java test? Let’s change that. @Diego Molina explains how modern frameworks take that task off your plate. Frameworks handle browser setup and teardown so you can focus on what matters—writing tests. Abstraction makes your tests easier to understand, even for non-coders. With prebuilt API methods, you’re skipping the boilerplate and jumping straight to results. Saving time also saves money.

Still relying on Selenium for your automation? It’s time to explore new options. @Diego Molina, Staff Software Engineer from @Sauce Labs explains why your choice of test framework can make or break your testing strategy: Ready to rethink your automation toolkit? Catch the latest episode of Test Case Scenario to learn how modern frameworks save time, reduce costs, and improve quality.

Is Selenium still the best choice for your test automation needs? In this episode of Test Case Scenario, Jason Baum sits down with Diego Molina, Staff Software Engineer for Open Source & Community at Sauce Labs, to unpack the complexities of selecting the right testing framework. They discuss the evolution of Selenium, the rise of modern tools like Playwright and Cypress, and the nuances of browser automation standards like WebDriver and CDP.

How reliable is your AI when it comes to ethical decision-making? Testing AI for ethics is possible, but scaling it for widespread use is still a major challenge. Manual frameworks and rigorous checks are essential to: Learn how to approach ethical AI testing responsibly and with precision in the latest episode of Test Case Scenario.

Are your testing strategies aligned with your team’s goals? Shifting left often requires discipline and advanced skills, making it a safer approach for many teams. On the other hand, shifting right can deliver major rewards if your team has the resources to handle the risks. The key is understanding your team’s capabilities and aligning your strategy with your specific goals, whether that means prioritizing safety or speed.

Testing isn’t one-size-fits-all—it depends on your industry and tolerance for risk. Shipping updates every few seconds might work for Amazon, but is it right for your industry? On Test Case Scenario, we break down why testing strategies vary so much depending on context. For example: Banks prioritize careful testing to protect transactions and avoid costly errors. Companies like Amazon rely on razor’s-edge testing, monitoring traffic patterns to spot issues fast.

Still waiting for AI to integrate into workflows seamlessly? You’re not alone. AI still feels stuck in "fantasy land" for many teams, but progress is getting faster. 2025 could be the year we finally make AI’s potential a reality—but only if we take action now. Catch the conversation on the latest episode of Test Case Scenario to explore the real-world progress of AI and what it will take to move beyond the hype.

What’s next for software testing in 2025? In this episode of Test Case Scenario, Jason Baum, Evelyn Coleman, and Marcus Merrell discuss the trends shaping the future of testing. From AI advancements to accessibility regulations, they explore what’s on the horizon for testing tools and methodologies.

There’s a new way to approach quality. In game testing, "shift-left" is all about catching issues earlier in the development process rather than waiting until production. @Mac Clark from Sauce Labs explains how game engines like Unity and Unreal allow for a shift-left approach using AI agents to automate testing before a game reaches players. This proactive method can help identify potential crashes and errors at the engine level, ensuring a more stable product launch.

Is your error reporting solution ready to handle millions of players? Without the right tools, scaling for large games can lead to overwhelmed systems and missed insights. Here’s a strategy: Prioritize Scalability: Choose tools like Backtrace that can handle the sheer volume of errors in massive releases without compromising on performance. Enable Easy Triage: Look for solutions that streamline error sorting so teams can quickly pinpoint and resolve critical issues.