What Coding Agents Teach Us About AI Agent Concurrency, Webhooks, and Design Architecture
When we talk about AI agents, the conversation usually centers on the LLM's reasoning capabilities—the brain. But as an architect, when I look at agents like Pi, Keen Code, and OpenHands, the most interesting part is not the brain; it is the nervous system.
This post is a scaffold-level analysis: we look at the code that wraps the model—the control loops, concurrency primitives, state management, and event plumbing—to understand what makes a coding agent usable in production. Building a coding agent is not just about calling an API; it is a distributed systems problem. You have to manage long-running state, coordinate multiple sub-agents, and ensure that a thought process that takes 30 seconds does not freeze your entire environment. The runtime that wires these pieces together is what separates a demo from a production-grade agent.