How Octo Built Multi-Agent Orchestration Beyond Single-Agent AI Loops

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Boris Cherny, who leads development on Claude Code, sparked widespread discussion in AI circles after revealing he builds iterative loops around AI models rather than crafting single prompts, with the clip gaining nearly 700,000 views in under 24 hours. The concept, dubbed Loop Engineering, centers on giving a model a goal, tools, and feedback mechanisms so it iterates and self-corrects until output meets a defined standard. The team behind Octo, an AI-native messaging platform, observed that most Loop Engineering discussion focuses on single-agent systems, which they found insufficient for complex, organization-level work. Real workflows — such as taking a product feature from concept to shipped code — require multiple interconnected loops that share context, trigger one another, and respect team boundaries. This prompted Octo to extend loop engineering into multi-agent orchestration, moving away from chat-based task handling toward a more structured coordination system capable of managing long-running, collaborative AI workloads.

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