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AI is writing more of your codebase every quarter. A new Sauce Labs report surveying 400 U.S. executives and engineering leaders shows most organizations still can't verify it's safe to ship, and the incidents are piling up.

An outdated Selenium or Appium build can look exactly like a flaky test … until you check the version number.

When a build fails, the tests are the easy part. Here's how to implement AI root cause analysis so engineers stop losing hours to logs and diffs.

Flaky tests erode trust in the pipeline one rerun at a time. Learn why tests flake, how to tell a flaky test from a real regression, and how to fix the root cause instead of just hitting rerun.

Test automation tells you what happened. Release assurance empowers you to decide what to do about it, closing the loop from business intent to production confidence.

Companies already spend more than $1 trillion a year trying to catch bad code before it ships. AI is making that job a lot more difficult.

Leadership has visibility into more AI-generated code than ever. But seeing it and trusting it are two separate things.

A practical definition of the discipline that proves a release is ready to ship, backed by evidence instead of opinion.

AI made writing code effortless, but verifying it became the hardest job in software. So we rebuilt Sauce Labs around release assurance to close that gap.

Buying the devices is the easy part. The other 90% of the work is what nobody builds into the budget.