Astronomer has introduced two new commands, astro dev parse and astro dev pytest, to enhance the testing of Directed Acyclic Graphs (DAGs) in Apache Airflow using the Astro CLI. These commands streamline the development and testing process by allowing users to identify syntax and import errors quickly, ensuring that DAGs render correctly in the Airflow UI, and facilitating the creation and execution of pytests locally. The astro dev parse command accelerates error detection, saving time in debugging, while astro dev pytest enables users to run DAGs against custom or default pytests to ensure compliance with organizational requirements. These enhancements simplify the traditionally complex and time-consuming process of setting up a local Airflow environment, reduce overhead by eliminating unnecessary component setups, and improve feedback on errors. Additionally, the astro deploy command now integrates the parse functionality, offering a final assurance that DAGs are error-free before cloud deployment, thereby improving reliability and security without requiring sensitive credentials to be stored locally.