Code production is now a commodity; the bottleneck is knowing what to build and proving it works. We present the Kitchen Loop, a framework for autonomous, self-evolving software built on a unified trust model: (1) a specification surface enumerating what the product claims to support; (2) 'As a User x 1000', where an LLM agent exercises that surface as a synthetic power user at 1,000x human cadence; (3) Unbeatable Tests, ground-truth verification the code author cannot fake; and (4) Drift Control, continuous quality measurement with automated pause gates. We validate across two production systems over 285+ iterations, producing 1,094+ merged pull requests with zero regressions detected by the regression oracle (methodology in Section 6.1). We observe emergent properties at scale: multi-iteration self-correction chains, autonomous infrastructure healing, and monotonically improving quality gates. The primitives are not new; our contribution is their composition into a production-tested system with the operational discipline that makes long-running autonomous evolution safe.

翻译：代码生产已成为基础能力；真正的瓶颈在于明确构建目标并验证其正确性。我们提出厨房回路（Kitchen Loop）框架——一个基于统一信任模型构建的自主自演化软件体系。该框架包含四个核心要素：（1）规格界面，枚举产品声称支持的所有功能；（2）‘作为用户×1000’机制，由LLM代理以人类千倍速度模拟高级用户进行压力测试；（3）不可破解测试，提供代码作者无法伪造的地面真实验证；（4）漂移控制，通过自动化暂停门实现持续质量监控。我们在两个生产系统上进行285+轮迭代验证，累计产生1094+个合并拉取请求，回归检测器未发现任何回归缺陷（方法论详见第6.1节）。在规模化运行中观察到涌现特性：多轮迭代自纠错链、自主基础设施修复能力，以及持续优化的质量门限。本框架各组件并非首创，但我们的贡献在于将其组合成经过生产环境检验的系统，并通过工程纪律保障长期自主演化的安全性。