一份无需自我内耗的循环工程实用指南
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A Practical Guide To Loop Engineering Without Yourself
无人干预的循环工程实用指南
There's a lot of talk right now about "designing loops" instead of prompting your coding agent. If you spend time researching what a loop actually is, you'll find one of the clearest technical breakdowns in the loop-engineering framework
现在有很多关于“designing loops”而不是直接提示 coding agent 的讨论。如果你花时间研究 loop 究竟是什么，你会在 loop-engineering 框架中找到最清晰的技术拆解之一
Loop engineering is the practice of replacing manual prompting with autonomous control systems. Instead of repeatedly prompting an agent to perform micro-tasks, you design a system that discovers work, executes it, and verifies progress over time
循环工程（Loop engineering）是一种用自主控制系统取代手动提示的实践。与其反复提示代理执行微任务，不如设计一个系统来发现工作、执行工作并随时间验证进度
The core philosophy: the leverage point has moved from crafting individual prompts to designing the orchestration systems that manage agents. This eliminates three specific problems - Intent Debt (instructions decaying over time), Comprehension Debt (re-contextualizing an agent for every task), and Cognitive Surrender (blindly accepting agent output without structured verification)
核心理念：杠杆点已从制作单个提示转移到设计管理代理的编排系统。这消除了三个具体问题——意图债务（Intent Debt，指令随时间衰减）、理解债务（Comprehension Debt，为每个任务重新为代理提供上下文）和认知投降（Cognitive Surrender，在没有结构化验证的情况下盲目接受代理输出）
Getting Started
快速入门
Before running an autonomous agent, you need to assess the "Comprehension Debt" of your repository. The framework provides three CLI tools via npx to manage the loop lifecycle.
在运行自主代理之前，你需要评估代码库的“理解债务”（Comprehension Debt）。该框架通过 npx 提供三个 CLI 工具来管理循环生命周期。
loop-audit scans your project and computes a Readiness Score from L0 to L3 by detecting signals like STATE.md files, MCP configurations, and verifier skills
loop-init scaffolds skills, state files, and observability docs for a specific pattern, supporting tools like Grok, Claude, Codex, and Opencode
loop-cost estimates monthly token budgets based on cadence and readiness level
loop-audit 扫描您的项目，并通过检测 STATE.md ...