Lou Bichard Calls for Coordination Primitive to Unlock AI Agent Swarms in Software Factories

TL;DR: Lou Bichard argued that a new coordination primitive is essential for AI agent swarms to realize fully automated software factories.

Context AI Engineer Europe featured a session titled “The Missing Primitive for Agent Swarms,” presented by Lou Bichard, Field CTO at Ona. The talk addressed the growing ambition to automate the entire software development lifecycle (SDLC) with AI.

Key Facts Bichard defined a software factory as a systematic effort to move human involvement out of the loop at every stage of the SDLC. The goal is to let work progress autonomously, only surfacing to humans when necessary. He noted that many firms are already deploying coding agents for tasks such as code generation, testing, and deployment. However, these agents often operate in isolation, leading to bottlenecks and conflicting actions.

To overcome this, Bichard emphasized the need for a robust coordination mechanism—a primitive that can manage the complex interactions and workflows among multiple agents. Without such a primitive, agent swarms struggle to synchronize, share context, and resolve conflicts, limiting their scalability.

What It Means If the industry adopts a standardized coordination primitive, AI agents could collaborate like a production line, each handling a specific sub‑task while maintaining a shared view of the project. This would accelerate the transition to software factories where code is written, reviewed, tested, and deployed with minimal human oversight. Companies that invest early in coordination frameworks may gain a competitive edge by reducing development cycles and cutting labor costs.

Watch for upcoming open‑source projects and vendor announcements that aim to provide the missing coordination layer, as they will shape the next wave of AI‑driven software engineering.