Airflow 2.0 introduced the TaskFlow API, which significantly enhances task management within Directed Acyclic Graphs (DAGs) by explicitly declaring message passing and implicitly managing task dependencies. This functional API allows for the use of XCom Args, enabling abstraction and inference of task dependencies through Python function calls, and includes a task decorator that automatically generates PythonOperator tasks, simplifying variable handling. Additionally, the API supports custom XCom backends, allowing users to store XComs externally and implement personalized serialization methods. The TaskFlow API aims to streamline task creation and management, with future developments expected to expand its capabilities, including additional decorators for other operators. For those new to Apache Airflow® 2.0, the Astronomer CLI and accompanying Quickstart Guide provide an accessible entry point.