Apache Airflow, every mention
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every year anyone Shawn Wang 7Erik Bernhardsson 1David Hsu 1
Verbatim, from the transcripts: the passages where Apache Airflow comes up
AI-Native Engineering: 100% adoption, 5x search throughput, unlimited tokens — Mikhail Parakhin
- ▶ 23:10 Shawn Wang So we did this before Airflow, and then obviously Airflow came along, and then more recently, Daxter, uh, I would say is like, in my mind, what I would use for that shape of problem, uh, where you had to materialize assets and create a… 4 times in the scene
DeepWiki: The GitHub Encyclopedia
- ▶ 10:34 unnamed speaker There's other solutions like Restate or, um, Airflow, you know, whatever.
Why is everyone cloning Deep Research?
- ▶ 48:27 Shawn Wang Uh, so Apache Airflow.
Agent Engineering with Pydantic + Graphs — with Samuel Colvin, CEO of Pydantic Logfire
- ▶ 16:38 Shawn Wang It does make me think that not only are you competing with Langchain now, and obviously Instructor, and now you're going into sort of the more, like, orchestrated things like Airflow, Prefect, Daxter, those guys.
The 10,000x Yolo Researcher Metagame — with Yi Tay of Reka
- ▶ 58:56 unnamed speaker I've used Airflow.
Supervise the Process of AI Research — with Jungwon Byun and Andreas Stuhlmüller of Elicit
- ▶ 1:04:05 unnamed speaker Temporo, Airflow, Daxter?
Truly Serverless Infra for AI Engineers - with Erik Bernhardsson of Modal
- ▶ 3:09 Erik Bernhardsson Sort of like, you know, kind of like Airflow, but like before Airflow, um, I think it did some things better, some things worse.
The State of AI in production — with David Hsu of Retool
The "Normsky" architecture for AI coding agents — with Beyang Liu + Steve Yegge of SourceGraph
- ▶ 1:05:47 Shawn Wang Do you, do you do, um, pre-processing, pre-processing orchestration, like, do you use Airflow?