AI-Driven Testing Innovations at Meituan Tech Seminar
At Meituan’s technical seminar, experts showcased AI-driven testing innovations—including multi‑agent UI automation, multimodal defect detection, Retrieval‑Augmented Generation for test case creation, and AI‑powered code change analysis—demonstrating how these techniques cut manual effort and boost quality in large‑scale systems handling billions of daily requests.
This technical seminar hosted by Meituan's technology team covers AI applications in software testing, including multi-agent driven UI automation, defect detection through multimodal fine-tuning, and AI-powered code change analysis. The event features experts from Meituan and academic institutions sharing practical implementations in quality assurance.
The seminar emphasizes AI-driven testing innovations such as intelligent test case generation using RAG (Retrieval-Augmented Generation), automated UI defect identification, and container quality assurance through AI agents. Presentations include case studies on reducing manual testing efforts and improving code quality via machine learning models.
Key topics discussed involve multi-agent systems for test automation, multimodal model fine-tuning for defect detection, and AI agent capabilities for defect prediction. The event also highlights practical implementations in Meituan's large-scale systems handling billions of daily requests.
Meituan Technology Team
Over 10,000 engineers powering China’s leading lifestyle services e‑commerce platform. Supporting hundreds of millions of consumers, millions of merchants across 2,000+ industries. This is the public channel for the tech teams behind Meituan, Dianping, Meituan Waimai, Meituan Select, and related services.
How this landed with the community
Was this worth your time?
0 Comments
Thoughtful readers leave field notes, pushback, and hard-won operational detail here.