Worked on enhancing the linting process in the mandiant/capa repository by introducing a logging mechanism to capture instances where lint rules failed to match provided examples. This addition improved the visibility and observability of lint failures, enabling more efficient debugging and faster triage of issues related to code quality. The approach centered on Python scripting and leveraged logging techniques to instrument the linting workflow, making it easier to analyze and resolve failures. Throughout the development, maintained disciplined commit practices and focused on maintainability, ultimately contributing to a more reliable and transparent linting process without addressing major bug fixes during the period.