During May 2025, ZDW enhanced the linting process in the mandiant/capa repository by developing a logging mechanism that records when a lint rule fails to match an example. This addition, implemented in Python, improved the observability and maintainability of the linting workflow by enabling developers to quickly identify and analyze the root causes of lint failures. ZDW focused on debugging and scripting skills to instrument the linting tool, ensuring that failure cases are now logged for easier triage. The work increased confidence in lint results and reduced the time required to diagnose issues, reflecting a thoughtful, targeted engineering approach.