By adopting Alibaba Cloud Qoder CN, FinVolution Group significantly improved its coding efficiency and quality, boosting its overall AI-driven development productivity.
FinVolution Group is a leading fintech group in China. Its mission is to "Make Finance Better with Technology" using big data and artificial intelligence. The group has a strong Research and Development (R&D) team that focuses on three main areas: credit technology, international business, and tech ecosystem incubation. It has also built strong capabilities in core fields such as credit risk assessment, fraud detection, big data, and artificial intelligence.
As a technology-focused company, FinVolution Group excels at creating full-stack fintech products and explores AI technology to enhance its core development capabilities.
In recent years, as its business expanded, FinVolution Group's internal software projects grew in complexity and scale, placing higher demands on developers for coding efficiency and quality. The development team faced the following pain points with traditional coding methods:
- Heavy repetitive work: Writing large amounts of repetitive code, performing manual debugging, and writing code comments consumed valuable developer time and reduced efficiency.
- Lack of timely optimization suggestions: During daily coding, a lack of immediate code optimization suggestions led to frequent syntax and logic errors. This impacted code quality and required additional resources to correct.
- High training costs for new employees: New employees spent a significant amount of time reading existing project code and learning coding standards. As a result, the team's well-established coding standards and codebases were not fully utilized.
- Efficient code assistance: Qoder CN uses a model optimized with a specialized code corpus and fine-tuned for mainstream programming languages, such as Java, Python, Go, C/C++, JavaScript, TypeScript, and PHP. It combines this with project-wide awareness of relevant and similar code across files to significantly improve coding accuracy.
- Support for personalized R&D scenarios: Qoder CN allows enterprises to customize and extend prompt tasks. It also integrates with their private data to enable code completion and enhanced retrieval for R&D Q&A, which meets their personalized development needs.
- Security and compliance: Qoder CN allows enterprises to customize policies to filter sensitive information, such as passwords and email addresses, from code snippets at the plugin layer. All data is encrypted and protected throughout the process. The official privacy policy guarantees that user code is not stored, which helps build a secure and compliant development environment.