By adopting Alibaba Cloud Qoder CN, GaiaWorks significantly improved its code development efficiency and quality. This helps the company innovate and grow in the digital workforce efficiency realm with solutions such as intelligent scheduling and attendance systems.
GaiaWorks is a Chinese company that provides workforce digitalization solutions. The company has created a workforce efficiency flywheel based on time, skills, and momentum, which is driven by the three factors of employee motivation: energy, drive, and ability. Its human-centric approach improves the employee experience and empowers development to boost efficiency. This creates a mutual commitment between the organization and its employees, resulting in a win-win-win for the company, employees, and society.
As a leader in the workforce digitalization realm, GaiaWorks has long focused on developing products and solutions. Its products and solutions include intelligent scheduling, attendance systems, blue-collar skill management, and incentive-based compensation management. The company has also gained extensive experience in labor-intensive industries such as manufacturing, retail, and modern services.
To meet growing market demand, GaiaWorks increased the frequency of its product iterations. However, frequent releases brought many challenges to the development team. These challenges included a high volume of repetitive coding tasks and steep learning curves for new technologies. These issues severely limited the time and energy available for technological innovation.
Developers spent a significant amount of time each day on repetitive tasks. These tasks included writing boilerplate code, debugging and optimizing code, and adding comments. This significantly reduced the time available for writing core business logic.
At the AI sub-forum of the 2024 Jiangsu Internet Conference, GaiaWorks Chief Architect Haifeng Gao gave a keynote speech titled "AI-driven Fine-grained Workforce Management".
In his speech, Gao Haifeng shared insights on how advanced artificial intelligence technologies can improve operational efficiency and employee experience, creating a win-win situation for both the company and the employees. He specifically mentioned that since GaiaWorks officially started using Qoder CN, over 90% of the members in its R&D team use the tool, 26% of new code is written by Qoder CN, and overall R&D efficiency has increased by 10%.
This collaboration with Qoder CN has further enhanced GaiaWorks' innovation capabilities in the workforce efficiency digitalization realm, providing significant benefits to its customers and serving as a valuable reference case for technological innovation across the industry. In the future, Qoder CN and GaiaWorks will continue to work together to explore more intelligent solutions and drive the continuous evolution of enterprise workforce efficiency digitalization.
Current state of development
Developers spent a significant amount of time each day on repetitive tasks. These tasks included writing boilerplate code, debugging and optimizing code, and adding comments. This significantly reduced the time available for writing core business logic.
Development pain points
- Increasingly complex business logic
- Lack of management control over development efficiency and code quality
- Need to implement secure production standards in daily coding practices
- Frontend optimization: Qoder CN supports integration with your private code assets. Using your own component libraries and samples, it ensures that the generated code is of high quality and meets your requirements, which significantly improves the code adoption rate.
- Backend support: Qoder CN excels in supporting mainstream programming languages such as Java, Go, C#, and Python. Its cross-file context awareness and similar code detection capabilities significantly improve the efficiency of code generation and maintenance.
- O&M and testing: In addition to supporting developers with coding, Qoder CN also provides powerful support for O&M engineers in writing scripts and for testers in generating automated test cases.
- Custom extension: Qoder CN provides context extension capabilities. You can use #teamDocs in combination with your own enterprise standards to optimize your daily coding.