During March 2025, Zigarn enhanced the AnsibleLint integration within the jenkinsci/analysis-model repository by implementing a refined warning model for static analysis. He developed a solution in Java that parses log output using regular expressions to capture the '(warning)' suffix, enabling the system to distinguish between normal and low-level warnings and map them to appropriate severity levels. This approach improved the accuracy of issue triage and reduced alert noise in continuous integration pipelines. Zigarn also updated the test suite to ensure the new warning classifications were correctly handled, demonstrating a focused and methodical approach to code parsing and static analysis.