Dagster, every mention
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tap a year for its mentions
every year anyone Shawn Wang 4
Verbatim, from the transcripts: the passages where Dagster comes up
The AI Frontier: from open weights to open research — Eiso Kant, Poolside AI
- ▶ 25:38 unnamed speaker I'll just call it a Dexter, just got bought by a prefect. 2 times in the scene
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…
Claude Code: Anthropic's CLI Agent
- ▶ 0:21 Shawn Wang I just realized Dagster as well.
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.
High Agency Pydantic over VC Backed Frameworks — with Jason Liu of Instructor
- ▶ 32:00 unnamed speaker I actually worked at a Prefect competitor at Temporal, uh, and I'm also very familiar with Daxter.
Supervise the Process of AI Research — with Jungwon Byun and Andreas Stuhlmüller of Elicit
- ▶ 1:04:05 unnamed speaker Temporo, Airflow, Daxter?
RAG is a hack - with Jerry Liu of LlamaIndex
- ▶ 56:20 Shawn Wang Because, um, typically in the data ecosystem with Airbyte, um, you know, Airbyte has its own strategies for custom loaders, but also you could write your own with, like, DAX or, like, Prefects or one of those tools.