20260706:新增一些文章

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+---
+title: "AI 开发范式演进：从 Prompt Engineering 到 Loop Engineering (Raw)"
+source: https://mp.weixin.qq.com/s/hcgKahtQRE2QqI6xplv2Rg
+author: 邱汉宸（东南大学、阿里淘天）
+platform: Datawhale
+date: 2026-06-29
+---
+
+# AI 开发范式演进：从 Prompt Engineering 到 Loop Engineering
+
+## 引言
+
+2023 年是大语言模型落地应用的早期阶段，"年薪百万的提示词工程师"刷屏。工业界核心精力投射于提示词工程，方法论侧经历系统化演进（Zero-shot → Few-shot → Chain-of-Thought → Tree-of-Thought）。
+
+转折在 2025–2026 年，三句话引爆 AI 社区：
+1. "I really like the term 'context engineering' over prompt engineering." — Tobi Lütke
+2. "You shouldn't be prompting coding agents anymore. You should be designing loops that prompt your agents." — Peter Steinberger
+3. "I don't prompt Claude anymore. I have loops running. My job is to write loops." — Boris Cherny
+
+核心命题：人类从 Agent 循环的内部走向外部，从执行者变成设计者。
+
+## 四次浪潮
+
+### 1. Prompt Engineering
+- 方法论：Zero-shot/Few-shot, Instruction Prompting, APE 自动 Prompt 搜索
+- Prompt Engineering ≠ Blind Prompting（trial-and-error 无测试）
+- 声明式框架：DSPy, APE — 开发者声明输入输出签名，优化器自动搜索最优 Prompt
+- 瓶颈：上下文窗口限制、缺乏记忆与工具调用、维护成百上千条模板的技术债务
+
+### 2. Context Engineering
+- 三套方法论：MVC（Minimum Viable Context）、GraphRAG、Just-in-Time 检索
+- 三种故障模式：Context Starvation / Context Overflow / Context Rot
+- 隐式维度：提示词缓存（Prompt Caching）+ 前缀匹配不变性（Prefix Matching Invariant）
+- "从静到动"分层排列：工具定义 → 系统提示 → 历史对话 → 动态消息
+- 缓存经济学：N>3 即可净收益（首次 100%，后续 20%）
+- Anthropic Skills 采用 Just-in-Time 设计哲学
+
+### 3. Harness Engineering
+- 公式：Agent = Model + Harness
+- 四大支柱：环境资产与工具集 / 控制与编排逻辑 / 规则中间件（Hooks）/ 运行时可观测性
+- 信任边界：物理基础设施 → 安全沙箱 → Agent Harness → 运行时 → 模型
+- DataTalks.Club 事故：Claude Code 执行 terraform destroy 抹除生产数据库
+- 八条非妥协原则：
+  1. Model proposes — Harness executes
+  2. Every call returns a result
+  3. Risk changes the process
+  4. Draft 与 Commit 分离
+  5. Context is assembled, not dumped
+  6. Long tasks have budgets
+  7. Skills & Connectors 渐进式披露
+  8. Recurring failures become Harness features
+
+- CodeRabbit 分层拦截流水线：确定性规则层 → 策略网关层 → AI 审查层 → 人类终审
+- Skill Issue 框架：Agent 表现不佳 → 排查 Harness 代码
+- Terminal Bench 2.0：不改模型，仅改写 Harness → 排名 30 → 前五
+
+### 4. Loop Engineering
+- 公式：Loop = Cron + 决策器
+- 哲学：机制（Mechanism）与策略（Policy）分离
+- 三级成熟度：Open Loop → Closed Loop → Review Loop
+- 五件套 + 一个记忆：Automations / Worktrees / Skills / Connectors (MCP) / Sub-agents / State 文件
+- Loop Contract 六维约束：TRIGGER / SCOPE / ACTION / BUDGET / STOP / REPORT
+- 安全机制：熔断器（Circuit Breaker）+ 看门狗（Watchdog）
+- 自主闭环流水线：AI 编码 → 沙箱测试 → 日志回灌 → AI 修复 → CI 绿标 → 自动发起 PR
+
+## 嵌套关系
+
+Prompt ⊂ Context ⊂ Harness ⊂ Loop
+
+## 早期 vs 当前
+
+- 早期：Output = f(Prompt, Context) — 可靠性取决于输入质量
+- 当前：Success = g(Loop(State, Harness, Model)) — 取决于循环深度和验证器严密性
+
+## Loop Engineering 的影响
+
+1. 为缓解幻觉提供可工程化的收敛路径（Text → Code → Execute → Read Result → Self-correct）
+2. 自动化控制范式升级（容错、自愈、动态自适应）
+3. 基础设施产品原语化（HaaS）
+
+## Loop Designer 角色
+
+1. 定义终止边界（Goal & Verifier 设计）
+2. 维护工具链与领域资产（Tooling & Skill 配置）
+3. 设计安全断路器（Human-in-the-Loop & Budget Guard）
+
+## 参考资料
+
+[1] Lilian Weng. Prompt Engineering. 2023.
+[2] Mitchell Hashimoto. Prompt Engineering vs. Blind Prompting. 2023.
+[3] Lilian Weng. LLM Powered Autonomous Agents. 2023.
+[4] Tobi Lütke. Context engineering over prompt engineering. 2025.
+[5] Michael Hunger. Why AI teams are moving from prompt engineering to context engineering. 2026.
+[6] Tomás Murúa. Context engineering vs. prompt engineering. 2026.
+[7] Vivek Trivedy. The Anatomy of an Agent Harness. 2026.
+[8] Sergio Paniego & Aritra Roy Gosthipaty. Harness, Scaffold, and the AI Agent Terms Worth Getting Right. 2026.
+[9] Tort Mario. AI Agent Best Practices: Production-Ready Harness Engineering. 2026.
+[10] Addy Osmani. Agent Harness Engineering. 2026.
+[11] Peter Steinberger. You shouldn't be prompting coding agents anymore. 2026.
+[12] Yash Thakker. Loop Engineering: How to Design Coding Agent Loops That Run While You Sleep. 2026.
+[13] Addy Osmani. Loop Engineering. 2026.
+[14] Sydney Runkle. The Art of Loop Engineering. 2026.
+[15] Stanford NLP. DSPy: Programming not prompting Foundation Models. 2024.
+[16] Anthropic. Prompt Caching. 2024.
+[17] Gaurav Garg. Claude Code Deleted a 2.5-Year AWS Production Database: The Full Incident Report. 2025.
+[18] Brandon Gubitosa. What is harness engineering for AI code review & oversight. 2026.
+[19] Aliyun. Model Studio Context Cache. 2026.
+[20] Geoffrey Huntley. Cursed: The unintended consequences of AI code generation. 2025.