What optimizations in test data management help speed up large-scale CI testing?
How playwright sharding is different compared to runwright sharding solution?
What architectural choices enable scaling from hundreds to thousands of CI tests without bottlenecks?
What are the main bottlenecks that cause CI test pipelines to take hours instead of minutes?
What’s the biggest bottleneck in your CI test pipeline today, infrastructure, flaky tests, or test volume?
How do you decide which tests should run on every commit vs. nightly builds?
How soon do you think CI pipelines will evolve into continuous quality pipelines with self-healing tests?
How do you architect test pipelines to resolve dependencies without blocking thousands of parallel jobs?
Does the smart distribution logic also consider multiple reruns, in case of failures?
How do you handle flaky tests at scale without inflating CI runtime?
If your product has 3 similar environment do you think is it good idea to run same test cases in all 3 environment or not?
How do you decide between scaling horizontally (more nodes) vs. optimizing test execution strategies?
How do you balance speed vs. reliability when critical system tests are slow?
How do you architect dependency resolution so tests that share data or environments don’t block each other?