Spec Kit Agents：基于上下文的代理工作流
Spec Kit Agents: Context-Grounded Agentic Workflows
AI总结：
本文提出Spec Kit Agents，一种多代理的规范驱动开发流程，通过添加阶段级上下文绑定钩子，提升代码质量与测试兼容性。
摘要：
本文提出Spec Kit Agents，一种多代理的规范驱动开发流程，通过添加阶段级上下文绑定钩子，提升代码质量与测试兼容性。
英文摘要：
Spec-driven development (SDD) with AI coding agents provides a structured workflow, but agents often remain "context blind" in large, evolving repositories, leading to hallucinated APIs and architectural violations. We present Spec Kit Agents, a multi-agent SDD pipeline (with PM and developer roles) that adds phase-level, context-grounding hooks. Read-only probing hooks ground each stage (Specify, Plan, Tasks, Implement) in repository evidence, while validation hooks check intermediate artifacts against the environment. We evaluate 128 runs covering 32 features across five repositories. Context-grounding hooks improve judged quality by +0.15 on a 1-5 composite LLM-as-judge score (+3.0 percent of the full score; Wilcoxon signed-rank, p < 0.05) while maintaining 99.7-100 percent repository-level test compatibility. We further evaluate the framework on SWE-bench Lite, where augmentation hooks improve baseline by 1.7 percent, achieving 58.2 percent Pass@1.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
