Analyzing Python asyncio Primitive Limitations for Shared State Coordination
By
goodoldneon
Fresh out the oven, still warm. Top of the tray.
Summary
This technical article examines the limitations of Python's asyncio primitives (Event and Condition) for managing shared state in concurrent programming. The author shares insights from building Inngest's Python SDK, where they encountered issues coordinating multiple async handlers around WebSocket connection state. The article systematically analyzes each primitive's shortcomings under real concurrency pressure, explores attempted solutions using Event, Condition, and Queue, and presents a working pattern that handles all edge cases. It's a deep technical dive into async programming challenges with practical solutions.
Key quotes
· 5 pulledCoordinating concurrent tasks around shared state is one of the most common problems in Python's asyncio.
The standard library gives you asyncio.Event and asyncio.Condition, but each has a gap that only shows up under real concurrency pressure.
We hit this while building Inngest's Python SDK, where multiple async handlers coordinate around WebSocket connection state.
This post works through each primitive, shows exactly where it breaks, and iterates toward a solution that handles every case we threw at it.
We tried Event, Condition, and Queue. Each one gets closer but still breaks under real concurrency. Here's the observable pattern that finally works.
You might also wanna read
Why Average LLM Use Is Likely Destroying Value in Software Development
The author argues that, contrary to prevailing hype, the average use of Large Language Models (LLMs) is likely destroying value rather than
How AI Accelerated Prototyping: From Idea to Tangible in Record Time
The author reflects on how AI has transformed their prototyping workflow. Previously, the biggest bottleneck was the time needed to scaffold
GitLab 19.0 launches with Secrets Manager, agentic workflows, and self-hosted AI models
GitLab 19.0 has been released, positioning itself as an intelligent orchestration platform for DevSecOps. The release includes expanded secr
bit.ly·1d agoCentralizing Error Handling in Rust with Custom AppError Enums
This article discusses the importance of centralizing error handling in Rust applications using a custom AppError enum combined with map_err
Zig Devlog: Build System Rework Separates Maker and Configurer Processes
This devlog entry from the Zig programming language project announces a major rework of the build system, separating the maker process from
Study finds most developers refuse to code without AI, raising quality concerns
A February 2026 study by AI research lab METR reveals that most developers now refuse to work without AI coding tools. While these tools hel
