evin
>
>
> Sent from Outlook for iOS<https://aka.ms/o0ukef>
>
> From: Amogh Desai
> Sent: Tuesday, July 8, 2025 2:04:33 AM
> To: dev@airflow.apache.org
> Subject: Re: [DISCUSS] - LLM-Powered DAG Generation
>
> Strongly concur with everything
to write proper DAG.
Thanks,
Kevin
Sent from Outlook for iOS<https://aka.ms/o0ukef>
From: Amogh Desai
Sent: Tuesday, July 8, 2025 2:04:33 AM
To: dev@airflow.apache.org
Subject: Re: [DISCUSS] - LLM-Powered DAG Generation
Strongly concur with everything
Strongly concur with everything Jarek had to tell.
I would be in favour of a strong NO for this. The use case of having an
embedded
UI to type in natural language is as good as opening your IDE locally with
integrated
LLM models and asking it to generate the dag using natural language and
drop it
Hi,
also sharing the opinion that no dedicated UI is needed for this - but
would be very welcoming to share experience and maybe expereince and
starting promt to get going. So if you want to post (somewhere, e.g.
medium) an article about how this is possible, that migth be worthwile
to share.
Yup agreed with Jarek. A strong no from my side. We don't want to allow
authoring DAGs from Airflow UI especially just to provide an LLM interface.
On Mon, 7 Jul 2025 at 12:27, Jarek Potiuk wrote:
> Also you might take a look at Airflow Summit videos
> https://www.youtube.com/playlist?list=PLG
Also you might take a look at Airflow Summit videos
https://www.youtube.com/playlist?list=PLGudixcDaxY2NIjMYT8t5zA9KJ47wTCkM ->
and look back to 2023. There were at least several talks about using LLMs
to generate Airflow Dags, and our users are doing it already - and I guess
it's quite natural for
FYI I added your email directly - because apparently you are not subscribed
to devlist - please do subscribe following the "community" tab on
our website.
I don't want to cut down your wings and excitement, but this is a
deliberate choice that Airflow UI does not allow to author DAGs. This is a
se
Hello Team,
My name is Harikrishnan(Hari), I have an idea/improvement proposal for
Airflow.
LLM-powered feature within Apache Airflow to significantly enhance the DAG
authoring experience. Users would be able to provide natural language
descriptions or queries and leverage Large Language Models (
