Claude Code 成功秘诀：简单AI循环+强大工程系统

The paper is saying that Claude Code works well not because it has a complex AI brain, but because a simple AI loop is surrounded by a huge, carefully built system for tools, safety, memory, permissions, and recovery.

The authors studied the public TypeScript source and found that the main agent loop is very small: call the model, run approved tools, add results back, and repeat.

What takes up most of the system is the harness, meaning the regular software around the model that decides what tools exist, what actions are allowed, what gets remembered, and what happens when things fail.

They also show that context management is a major design problem, so Claude Code uses several layers to shrink or summarize older information before the model runs out of space.

autonomy does not remove infrastructure, it increases the burden on infrastructure.

A coding agent that can run shell commands and edit files cannot be treated like a chatbot with plugins, because every action has side effects and every side effect needs a boundary.

Link – arxiv. org/abs/2604.14228

Title: "Dive into Claude Code: The Design Space of Today's and Future AI Agent Systems"