Pablo Erhard developed a dedicated nightly testing workflow for the DataDog/dd-trace-js repository, focusing on flexible and efficient test execution. He designed and implemented a GitHub Actions CI/CD pipeline using YAML, enabling manual triggers for nightly tests and allowing selective execution of five distinct test suites through boolean inputs. This approach reduced unnecessary test runs and provided targeted feedback, improving release readiness and resource utilization. Pablo’s work demonstrated a solid understanding of workflow automation and boolean-driven test selection, addressing the need for more controlled and efficient nightly testing. The feature was delivered within a month, reflecting focused engineering depth.