Making tests faster means you can make more tests. The more tests you can make, the faster you learn about issues and the less issues you release. The less issues you need to fix, the more features you can create. The more features you can create, the better your product becomes. The better your product becomes, the happier and more empowered you can make your customers. In this session, we will be going over a few best practices you can use to increase your test creation efficiency. We will talk about how to eliminate the need to create the same steps twice, saving time by starting your test creation with pre-populated variables from data you already have, and making sure you know how to get fast feedback on the functionality of your tests.
Quality Engineering Resources
When AI Writes the Code, Who Is Accountable for Quality?
AI tools like Claude Code + Playwright speed up testing, but are you building quality debt? The three risks engineering leaders need to understand now.
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How Visual Artificial Intelligence Enables Context-Aware Regression Detection
Visual AI enables context-aware regression detection by understanding UI semantics and intent, not just pixel changes. Reduce false positives and catch real bugs reliably.
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Benchmarking the Best AI Agent Architectures for Enterprise-Grade Test Automation
Benchmark AI agent architectures for enterprise test automation. Compare retrofit, single-model, multi-model, and cloud-native frameworks to find the right fit for scale
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