There’s a better way to approach test automation. Selenium is a powerful browser automation tool, but it’s not a testing framework—and that distinction matters. @Diego Molina from Sauce Labs discusses why comparing Selenium to testing framework tools like Playwright or Cypress is like comparing apples to oranges. While Selenium provides the capabilities for automation, tools like Playwright offer full-fledged testing features. By recognizing the unique strengths of each of them, you can make an educated choice on which tool would best fit your testing strategy.

Struggling to scale your tests effectively? It doesn’t have to be complicated, thanks to tools like Selenide. Parallel test executions can be as simple as: Writing your tests, setting a flag, and letting the framework handle the rest. Parallel runs allow you to finish test suites in record time. Reduced bottlenecks and being able to focus on delivering value with tools designed for growth.

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.

Don’t rely on players to find bugs in your video games. There’s a smarter way forward. And it involves using AI agents and shift-left testing. Here’s why AI bots are game-changers: Automated Playtesting: Advanced AI agents now handle repetitive playthroughs, catching issues early and reducing developer crunch in alpha and beta phases. Comprehensive Coverage: These bots don’t just mimic players; they explore every inch of the game, uncovering bugs that would take traditional QA departments hours.

Relying solely on shift-left testing to catch issues? Think again. Testing expert @Mac Clark reveals why the best teams integrate shift-right testing as an 'insurance policy' for quality software, catching what pre-release tests might miss. Here’s why it matters: Watch the latest episode of Test Case Scenario to see how industry leaders combine shift-left and shift-right approaches for unbeatable software quality.

Can your software handle the pressure when bugs slip through the cracks? In this episode of Test Case Scenario, Jason Baum and Evelyn Coleman chat with Mac Clark, Senior Solutions Engineer at Sauce Labs, about the dynamic world of shift-left and shift-right testing. Mac shares how gaming and software industries leverage AI-driven testing, real-time error monitoring, and feature flags to catch issues before they snowball into costly problems in production.