Understanding Loops and Graphs in Modern Coding Agents
When you ask Fable or GPT-5.6 Sol to complete a task, it feels like you’re talking to one agent.
But behind that single conversation, the harness may be spawning multiple sub-agents, giving each one a fresh context window, running them in parallel, and passing summaries between them.
You gave one prompt. It built a graph.
In this episode of Superlinear, Christine Yip and Brandon Kase unpack how modern agent harnesses grow from simple agent loops into hidden graphs of sub-agents, and why those graphs may be one reason your token limit disappears so quickly.
00:00 Introduction
03:34 How the…
The skinny
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