Apache Airflow 2.10 has been released with over 40 new features, more than 80 improvements, and over 40 bug fixes. This release enhances flexibility and functionality of the platform, particularly in dataset improvements which are a popular feature for implementing use cases like MLOps and GenAI. The update includes dynamic dataset definition, metadata attachments to dataset events, UI updates such as dark mode and task failed dependencies visibility, lineage enhancements with support for PythonOperator, Kubernetes executor configuration, and other noteworthy features and improvements.