Recently, Yonyou Group announced its integration with Qoder CN Enterprise Dedicated Edition, making it the company's sole research and development (R&D) efficiency tool. Over 50% of Yonyou's R&D personnel now use Qoder CN for core code development. As a result, artificial intelligence (AI) code generation accounts for 37% of Yonyou's code, with an adoption rate of 30%.
Yonyou Group is a leading enterprise in the Software as a Service (SaaS) and Enterprise Resource Planning (ERP) realms. The company's business is complex and diverse. It serves various enterprises, including large, medium, and small businesses, covering ten major realms such as finance, supply chain, and manufacturing.
Currently, Yonyou's code base contains millions of lines of code with a complex nested structure. Most of Yonyou's development work involves upgrading existing code, which requires new employees to quickly learn complex code structures to become productive. The large code base also presents challenges for code review and testing.
After integrating Qoder CN, new employees at Yonyou can use the tool to understand code, reducing their learning time by over 70%. Additionally, Qoder CN's features, such as code explanation, control flow graph generation, and time series chart generation, significantly improve efficiency for new employees during project handovers and when resolving complex code issues.
Moreover, developers can easily reference business component libraries, business knowledge, frameworks, development specifications, code structures, and platform interfaces because they are integrated into Qoder CN's custom enterprise prompt templates and knowledge base. This integration effectively improves code consistency and quality.
In anomaly localization scenarios, Qoder CN intelligently analyzes runtime and compile-time anomalies to quickly locate issues. It achieves an 80% accuracy rate in compile-time anomaly detection and a 60% accuracy rate in runtime anomaly analysis. This significantly improves anomaly handling efficiency.
In code review scenarios, Qoder CN automatically checks large code bases for errors such as parameter bugs, misplacements, and orchestration issues. It also intelligently generates unit test cases. This addresses the low efficiency of manual reviews and helps increase review coverage by over 30%.
Additionally, using Qoder CN Enterprise Dedicated Edition, Yonyou has implemented a unified account deployment for the group and its subsidiaries. This ensures standardized code and unified R&D management at the group level while also achieving data isolation and independent operations among subsidiaries.
Recently, Alibaba Cloud Qoder CN launched the AI programming model Qwen3-Coder. In real enterprise-level development scenarios, Qoder CN's code generation speed and accuracy have significantly improved. It also provides an improved collaborative coding experience with its Agent feature. Qoder CN's plugin downloads exceed 20 million, and it has generated over 3 billion lines of code for developers, making it the most popular auxiliary programming tool in China. Over 10,000 enterprises, such as Industrial and Commercial Bank of China, NIO, and China United Property and Casualty Insurance, have integrated Qoder CN.
Customer Cases