In this article, you will learn seven async patterns for running AI agents concurrently in Python, what each pattern is suited for, and the production-level pitfalls to watch out for with each.
Topics we will cover include:
Core async patterns such as fire and forget, scatter-gather, task groups, and producer-consumer queues, and when to reach for each one.
Resource-management techniques including semaphore-based backpressure and speculative execution, along with their real-world trade-offs.
How to chain agents into asynchronous pipelines and keep your event loop healthy under load.
