Regression testing focuses on reducing the risk that new changes will negatively impact existing functionality. Whenever code is updated—whether to add features, fix defects, or improve performance—there is a chance that something previously stable may break. Regression testing helps identify these issues before they reach end users.

In fast-paced development cycles, regression testing provides a layer of confidence that core workflows continue to behave as expected. By prioritizing high-impact and business-critical test cases, teams can quickly validate system stability without slowing down delivery.

Automation is commonly used to support regression testing at scale, enabling tests to run automatically as part of continuous integration pipelines. This allows teams to catch regressions early and fix them when changes are still fresh and easier to resolve.

By consistently applying regression testing, organizations can maintain product quality, minimize release-related surprises, and support continuous improvement without compromising reliability.