Build failure rate is a metric that measures the percentage of build failures during the software build process, and it has several important uses such as avoiding harmful software user experience, measuring development efficiency, enabling code refactoring to increase software efficiency, and giving confidence to release quality software when the failure rate is low or non-existent. Factors affecting build failure rates include code quality, third-party integrations, and infrastructure environment, which can be improved by implementing good practices such as automated dependency updates, metadata tracking, using package managers, consistent environments, and robust infrastructure. Measuring build failure rates involves calculating a percentage of failed builds compared to attempted builds within a given time period. A high build failure rate can have negative effects on project timelines, costs, team morale, and productivity, and resolving underlying issues is crucial to release software with defects and bugs. Strategies such as good code quality, well-managed third-party integrations, consistent infrastructure environments, and automation tools like Aviator can help reduce build failure rates by automating tedious developer workflows, managing git Pull Requests, continuous integration test runs, and handling flaky tests while maintaining security compliance.