Systems | Development | Analytics | API | Testing

Debug Like a Pro – Passive Error Monitoring and Reporting in Test and Production Stop chasing bugs—let them come to you! In this Sauce Labs Community Office Hours session, we’ll introduce you to passive error monitoring and reporting techniques that help you catch issues before they reach your users. Learn how to use automated logging, smart alerts, and seamless integrations to gain real-time visibility across test and production environments.

Sauce Labs Community Office Hours: Streamlining Mobile App Testing with Sauce Labs Mobile App Distribution Tired of juggling app versions during mobile testing? In this Sauce Labs Community Office Hours session, we’ll introduce Mobile App Distribution, a powerful tool that helps teams securely share and manage mobile apps for testing. Discover how it fits into your mobile testing workflow, ensures version consistency, and simplifies collaboration across teams.

The financial industry is rapidly evolving, and app and software quality is more critical than ever. In this exclusive on-demand webinar, industry leaders discuss the latest trends, challenges, and solutions in software testing for financial services. Key Takeaways.

Struggling to make sense of test failures? In this Sauce Labs Community Office Hours session, we’ll walk you through practical troubleshooting techniques to help you quickly identify root causes, resolve issues efficiently, and boost the reliability of your automated test suite. Learn how to approach test failures with confidence and keep your automation running smoothly.

Are we really in the “future of AI,” or are we just learning how to coexist with it? On this episode of Test Case Scenario, we explore: Why critical thinking and clear expectations make AI a tool, not a threat. How understanding its strengths—and its limits—keeps it a net positive. The gradual evolution of AI’s role in productivity, creativity, and problem-solving. The key to success? Making AI work for what it does best.

Are we stuck in a cycle of quick fixes and passing the buck? Tech problems today feel eerily familiar, just on a faster timeline—two-week sprints instead of nine-month cycles. Yet, management keeps hunting for the elusive silver bullet, often leaving the cleanup for the next in line. Is the short tenure of tech roles fueling this carousel of deferred accountability? On this episode of Test Case Scenario, we explore why real innovation requires more than just quick fixes and flashy solutions. Let’s break the cycle.

AI promises efficiency, but are we implementing it the right way? @Marcus Merrell shares what’s critical to track AI usage and its impact: “Here’s the prompt I used to get this tool, and here are the changes I made to make it work.” This kind of transparency is non-negotiable. Start small with a group of mixed experience levels to uncover both benefits and risks before scaling. If AI adds overhead without solving core issues, is it truly worth the investment?

AI tools like Copilot and ChatGPT promised to revolutionize development workflows, but are they delivering or just creating new headaches? The stats speak volumes: 92% of developers say AI increases the blast radius of bad code 67% are spending more time debugging AI-generated code 59% face deployment errors at least half the time when using AI tools So, are we making strides toward innovation or spinning in circles of hype? @Marcus Merrell put it best: “This stuff was supposed to already start paying off by now. So why isn’t it working?”