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-# Airflow Integration 
-
-## Compute Support : 
-- K8s
-
-## How does it work ? 
-The cli provides a `airflow create` command which helps convert a metaflow flow into an Airflow Workflow file. In the below example `a.py` will be an airflow workflow. 
-```sh
-# create python file
-python section_exp.py airflow create a.py
-```
-Once `a.py` is created it can be placed into the Airflow's dags folder. From there the tasks will be orchestrated onto kubernetes. 
-
-## Details of workings. 
-
-The [airflow_utils.py](airflow_utils.py) contains the utility functions/classes to create the workflow and export the workflow into dictionary format. 
-
-The [airflow_compiler.py](airflow_compiler.py) leverages `airflow_utils.py` to the compile the workflow into dictionary format and then using mustache we create the airflow file. The [af_deploy.py](af_deploy.py) file has the python template. The [airflow_utils.py](airflow_utils.py) is pasted as is into the template. The code in the compiled workflow reusese the [airflow_utils.py](airflow_utils.py) code convert the dictionary format into airflow `Operator`s and `DAG`.
-