作者详解代码生成与验证的 Loop Engineering 实践方法
Loop Engineering: Optimizing Code Generation and Verification
作者发布了一篇 8000+ 字并附带 2 篇配套文章的详细教程，讲解如何构建代码生成与验证的循环，涵盖评估契约、评估器与停止条件以减少 bug，搭建环境并引导 AI 产出生产级测试与代码，检测和纠正 AI 常见失败模式，以及建立监控并改进各阶段的学习循环，文中提供产物和详细解释供读者落地实现。
作者公开了完整的实现步骤和配套产物，读者可据此搭建自己的代码生成与验证流程。
Author here. This is a detailed (8,000+ word, plus 2 companion pieces) walk-through of building loops for code generation and verification, complete with artifacts and detailed explanations to allow you to implement any of these techniques.
We walk through building: - an evaluation contract, evaluator and stopping conditions to minimize bugs - establishing an environment and priming AI to produce production-quality tests and code - detecting and correcting common AI failure modes - building a learning loop to monitor and improve all phases.
I'd love to get your feedback!
Brad
来源：Hacker News · 首页 · news.ycombinator.com