Stories about 赵旭峰
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失败一次，受益多次：测试 Agent 从记忆到持续学习的工程实践｜QCon上海
AI InsightThe iteration and maintenance of test scripts is a long-standing pain point in automated testing, requiring new solutions. Zhao Xuefeng's team is exploring the use of AI to autonomously explore interfaces, structure fuzzy requirements, and generate scripts and execution plans, such as using knowledge bases, scripts, and execution products to design Agent workflows and implement failure-driven upgrade self-healing loops.Key TakeawayTest script iteration and maintenance requires new solutions, Zhao Xuefeng's team is exploring the use of AI to autonomously explore interfaces.Why It MattersThe iteration and maintenance of test scripts is a long-standing pain point in automated testing, requiring new solutions. Zhao Xuefeng's work may have a significant impact on the field of test automation, such as improving test efficiency and reducing costs.Who's Affected- BeneficiaryTest AutomationThe iteration and maintenance of test scripts is a long-standing pain point in automated testing, requiring new solutions.
What's NextIn the future, test automation may rely more heavily on AI and machine learning technology, Zhao Xuefeng's work may become a reference case for the industry.Importance 70/100