How can we improve regression testing efficiency while releasing frequent updates?

Question

We ship updates to our web application on a regular basis, and with each new feature, there’s always a risk of unintentionally affecting existing functionality. As release cycles get shorter, manual validation is becoming harder to sustain.

We’re currently looking to strengthen our regression testing approach by introducing more automation across both API layers and key frontend workflows.

Some of the challenges we’re facing:

• Keeping automated tests maintainable as the application evolves
• Detecting regressions early within Azure DevOps pipelines before production deployment
• Reducing time spent on repetitive manual testing
• Ensuring fast and reliable feedback from CI/CD workflows

We want to strike the right balance between sufficient test coverage and the effort required to maintain those tests over time.

I’d love to hear from others who have experience with this:

• How are you handling regression coverage in Azure DevOps?
• What approaches have helped you reduce maintenance overhead in automated tests?

Looking forward to your suggestions and experiences. We ship updates to our web application on a regular basis, and with each new feature, there’s always a risk of unintentionally affecting existing functionality. As release cycles get shorter, manual validation is becoming harder to sustain.