Ross Shaw发布了BlastLoop 1.0.0版本，这是一个为AI编程代理专门设计的编码框架。1该框架采用结构优先的方法，通过三个不同层级组织代码编写：Blast（系统级）、Mid（子系统级）和Inner（本地单元级）。1
框架配套的质量保证流程包括三个顺序测试阶段：T1结构检查、T2错误和操作检查，以及T3对抗性测试。1当T3阶段发现结构问题时，测试流程会循环返回T1阶段，经由B/M/I代码修正后重新进行T2和T3测试。1BlastLoop已以MIT协议开源发布，旨在帮助开发团队在使用AI编码代理时更快速地发现和修复问题。1
Ross Shaw has released BlastLoop, a structure-first coding methodology designed specifically for AI agents, available as an open-source project under the MIT license1. The framework organizes code development across three distinct layers: Blast for system-level architecture, Mid for subsystem-level components, and Inner for local unit-level implementation1.
The methodology incorporates a sequential testing regime to identify and resolve issues systematically1. Development follows T1 structural testing to verify framework integrity, T2 operational testing to catch errors and functional problems, and T3 adversarial testing to stress-test the system1. When T3 adversarial testing uncovers structural deficiencies, the process loops back through the sequence: T3 feeds into T1 for structural re-examination, followed by corrections at the Blast, Mid, or Inner layers, then proceeds through T2 and returns to T31. Version 1.0.0 is now available to development teams seeking faster problem detection and resolution when using AI coding agents1.
评论
还没有评论，欢迎留下第一条。