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In many .NET teams, improving test quality isn’t just about increasing the number of tests — it’s about understanding how deeply those tests exercise the codebase. This is where coverlet coverage becomes extremely valuable. When integrated into a CI/CD pipeline, it provides a transparent view of test effectiveness by generating line, branch, and method-level coverage reports. One practical observation is that Coverlet helps identify fragile areas of the application that appear stable in functional testing but fail under edge-case execution paths. By enabling coverage reports through dotnet test and exporting results in formats like Cobertura or JSON, teams can feed the data into SonarQube or GitHub Actions to enforce minimum coverage thresholds automatically.

From recent implementation experience, the biggest improvement comes from using Coverlet not just as a reporting tool, but as a feedback loop in the development workflow. When developers receive immediate coverage insights during pull requests, they tend to write more purposeful tests rather than adding tests reactively at the end. This shift helps reduce regression bugs and improves maintainability over time. While achieving 100% coverage isn’t realistic or necessary, using Coverlet coverage strategically to cover critical logic paths, integrations, and error-handling routines has proven to deliver the most value in production-grade systems.