2026-07-15 –, S4
When you write a Python library, you have a dilemma. Ship
async-only? Ship blocking-only? Or write everything twice and watch both copies drift?
Synchronicity removes this dilemma. Write your library once (in async) and get a blocking
interface for free, while avoiding the boilerplate and limitations of asyncio.run() wrappers. We’ll talk through how to handle persistent connections, async generators, clean tracebacks, type hints and more.
We've used it in production at Modal for years, and it's fully open source.
We hope it can save you from writing your own library twice!
Thom has spent the last decade building and scaling machine learning systems in Python. He is a Member of Technical Staff at Modal, where he develops new Sandboxes features, with a focus on improving the experience for reinforcement learning workloads. At AWS, Thom worked on deep learning frameworks and helped new users get started with them too, becoming a certified Coursera instructor along the way.