Speakers
Programmed at FastAPI, in alphabetical order.
Agenda
Selected from 17 sessions.
- 10:00 · 30 min
Building with FastAPI in Codex
Get the bleeding edge tips and tricks to develop FastAPI apps for AI, using coding agents, directly by Jason, from the Codex team at OpenAI.
- 11:15 · 30 min
Building with FastAPI in Codex
Get the bleeding edge tips and tricks to develop FastAPI apps for AI, using coding agents, directly by Jason, from the Codex team at OpenAI.
- 11:15 · 30 min
From Light to Byte: Who Delivers the Data?
Ben will cover the different methodologies used to deliver data at the Space Telescope Science Institute, including streaming database responses, S3 redirects, asynchronous Celery …
- 11:45 · 30 min
From Light to Byte: Who Delivers the Data?
Ben will cover the different methodologies used to deliver data at the Space Telescope Science Institute, including streaming database responses, S3 redirects, asynchronous Celery …
- 12:15 · 30 min
Your Agent Needs More Than an API
FastAPI made it remarkably easy to build APIs. But what happens when the client on the other side is an agent? It turns out agents and AI applications need many of the same things…
- 14:15 · 30 min
Then, Now, Next: The Speed Story of FastAPI
I was always skeptical about speed in Python, so I assumed the "fast" in FastAPI was about how fast you could build things. But over the years, people across the ecosystem kept fin…
- 14:45 · 30 min
Type hints with superpowers: Inside `typing.Annotated`
If you use modern FastAPI, you’ve probably written Annotated[...] because the documentation told you to. It works, but what is actually happening inside those brackets? Before Anno…
- 14:45 · 30 min
You don’t need /v2: API Versioning with FastAPI
Your team has exciting plans. Your users would prefer a quiet afternoon. At Polar, we wanted to keep both happy: one FastAPI application, the same URLs, and date-named API version…
- 16:00 · 30 min
Constrained Optimism
For most of my career, my job was writing code. Today that’s a small part of what I do: AI can take care of the implementation. My job now is to formulate the problem for the AI to…
An audience of 6 companies, parsed from the program.
Six companies in attendance.
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