AI testing workflow: from API material to acceptance
Explain how requirements, domain rules, scenarios, and existing SDKs connect in testing delivery, including where failures should return for correction.
AI testing workflow
Connect staged LLM generation, human review, and execution checks to turn generated code into useful test cases.
Problem
Connect staged LLM generation, human review, and execution checks to turn generated code into useful test cases.
My work
Build a staged LLM test-generation pipeline at work, combining AI-agent delivery with human review gates.
Engineering choice
Implementation and boundaries are detailed in the articles below.
Project articles
All articles →START HERE
从零到一搭建 AI 测试工作流：从需求到可执行测试
用一个可运行的 Python 工程，逐步建立需求识别、规则审阅、测试剧本生成、骨架填充和结果验证流程，附完整 Prompt、Skill 和公司接入方法。