09-22-2025, 12:59 PM
Traditionally, test automation has been used primarily for regression testing, ensuring that new changes don’t break existing functionality. However, with the rise of CI/CD, AI-driven testing, and developer-led testing practices, test automation is now playing a much broader role.
Modern teams leverage test automation for performance benchmarking, API validations, and even exploratory testing using AI-generated scenarios. This evolution allows quality assurance to become more integrated into the development lifecycle rather than remaining a separate phase.
Developer-first automation platforms like Keploy exemplify this shift. Keploy automatically generates tests from real application traffic, enabling high coverage with minimal manual effort. Its ability to integrate seamlessly into CI/CD pipelines, record real-world API interactions, and replay them for regression testing demonstrates how automation can now support multiple facets of software quality beyond traditional regression tests.
Modern teams leverage test automation for performance benchmarking, API validations, and even exploratory testing using AI-generated scenarios. This evolution allows quality assurance to become more integrated into the development lifecycle rather than remaining a separate phase.
Developer-first automation platforms like Keploy exemplify this shift. Keploy automatically generates tests from real application traffic, enabling high coverage with minimal manual effort. Its ability to integrate seamlessly into CI/CD pipelines, record real-world API interactions, and replay them for regression testing demonstrates how automation can now support multiple facets of software quality beyond traditional regression tests.