Customer Use Cases

China Insurance Property & Casualty Company

• Background information: In the fast-paced digital transformation, China Insurance Property & Casualty recognized the potential of AI and Large Language Models (LLMs) to reshape R&D workflows and product design in the insurance industry. The company adopted Tongyi Lingma to improve R&D efficiency and reduce coding errors.

• Solution: The company integrated Tongyi Lingma into its development toolchain. Frontend and backend teams used it extensively to automate repetitive coding tasks and leveraged its cross-file context awareness feature to ensure code quality.

• Results: The company improved its coding efficiency and code quality, which reduced development time. This allowed the company to explore more innovative applications in vertical business scenarios and advance the insurance industry.

ICBU

• Background information: Di Jianye (nicknamed Xue Yue) worked on multiple R&D projects during his career at Alibaba. Over the past two years, he has fully focused on AI to find ways to boost coding efficiency and quality.

• Solution: After evaluating mainstream tools, the team chose Tongyi Lingma as its core AI coding assistant. Its intelligent code generation and code completion features reduced repetitive tasks and improved the overall programming experience and development speed.

• Results: The code adoption rate reached 60% to 70%, and the tool became standard across the architecture team. This led to a significant increase in team-wide coding efficiency and code quality. As a result, AI-powered programming is now the team's strategic direction.

Hellobike Group

• Background information: As part of its smart-development strategy, Hellobike Group adopted the exclusive edition of Alibaba Cloud Tongyi Lingma. The goal was to increase internal R&D efficiency and AI code adoption, and to apply AI to smart customer service and marketing.

• Solution: Through close collaboration with Alibaba Cloud, Hellobike embedded Tongyi Lingma into its in-house Copilot, Hailuo Robot. This integration enabled intelligent code completion and code review. The team also applied Qwen LLM and Artificial Intelligence Generated Content (AIGC) technologies to smart customer service and marketing.

• Results: As a result, AI code adoption exceeded 25%, and R&D efficiency increased by 19%. Smart customer service calls are expected to reach 100,000 per day, and ad operations efficiency has improved significantly. The group has now entered a new era of intelligent creation.

Landray Software

• Background information: Shenzhen Landray Software Co., Ltd. has supported digital transformation across industries since 2001. The company delivers comprehensive digital solutions for intelligent office work.

• Solution: To tackle its massive codebase and high R&D costs, Landray adopted Alibaba Cloud Tongyi Lingma. The tool helped write, explain, and optimize code. It adapted to custom R&D scenarios and met security and compliance requirements, which boosted coding speed and engineering quality.

• Results: More than 90% of Landray's developers used the tool weekly, and over 33% of new code was automatically generated. The tool solved key R&D pain points, increased code engineering efficiency, and enabled the delivery of smarter and faster digital office solutions to customers.

PPDai Technology

• Background information: As a leading fintech group in China, PPDai Technology uses big data and AI to fulfill its mission: "Technology makes finance better." It faces growing complexity and scale in internal software projects.

• Solution: To address challenges such as a high volume of repetitive work, a lack of timely optimization suggestions, and high onboarding costs for new engineers, PPDai adopted Tongyi Lingma. Its efficient code assistance, custom R&D scenario support, and industry-specific security and compliance features improved coding speed and quality.

• Actual Results: After hundreds of R&D engineers began using Tongyi Lingma, the weekly active user rate reached 70%, 33% of new code was generated by Tongyi Lingma, overall R&D efficiency improved by 11%, and AI-driven development efficiency was significantly enhanced.

Gaia Works

• Background information: Gaia Works provides digital human-efficiency solutions. Its smart scheduling and attendance systems improve employee experience and enterprise performance. It has deep expertise in labor-intensive industries.

• Solution: To meet challenges from frequent product iterations, such as repetitive builds and complex business logic, the company adopted Alibaba Cloud Tongyi Lingma. The tool's features for frontend optimization, backend support, and custom extensions boosted coding speed and quality.

• Actual results: Over 90% of the R&D team members use the tool, with 26% of new code written by Tongyi Lingma . Overall R&D efficiency improved by 10%, enabling the company to drive innovation in areas such as intelligent scheduling and attendance systems.

Hillstone Networks

• Background information: Hillstone Networks deepened its partnership with Alibaba Cloud to integrate AI into its cybersecurity solutions using the Enterprise Dedicated Edition of Tongyi Lingma. This initiative increased R&D intelligence and speed, helping the company meet diverse market needs.

• Solution: The Tongyi Lingma Enterprise Dedicated Edition was deployed privately in the cloud. It provides features such as intelligent code completion, code review, and optimization to ensure code security, improve development efficiency, and support multi-language environments and hybrid development frameworks.

• Results: Hillstone's R&D efficiency increased by 30%, with a code completion adoption rate of 26%. AI-generated code accounted for 35% of all new code. The processes for code development, documentation, and testing were all accelerated and made more reliable, which improved overall product quality.

Zhibo8

• Background information: Zhibo8 is a leading sports live-streaming platform in China that delivers live coverage and news for major sports events. The platform serves over 250 million users and has more than 50 million monthly active users.

• Solution: Zhibo8 adopted the Enterprise Dedicated Edition of Tongyi Lingma to improve R&D efficiency, code quality, knowledge management, and data security. The tool helped reinforce enterprise coding standards and apply AI in complex scenarios.

• Results: As a result, development efficiency increased by 30%, and code quality improved by 35%. Code comment coverage increased to over 70%, and the onboarding time for new engineers was reduced by 30%. These improvements have accelerated Zhibo8's intelligent transformation.

Fudian Bank

Background information: Fudian Bank is a century-old "time-honored" bank. In recent years, it has pursued digital transformation to drive financial innovation and local economic growth, with the goal of setting a benchmark for city commercial banks.

Solution: As part of its intelligent R&D management plan, Fudian Bank adopted Tongyi Lingma as an IDE coding assistant. The bank rolled out smart coding tools in phases to increase software development speed and quality and to make R&D management more intelligent.

Results: AI-generated code accounted for over 30% of new code, unit test coverage increased, and user activity rose. The bank has advanced its intelligent software development journey and plans further AI upgrades.

Chuanzhi Education

Background information: Chuanzhi Education partnered with Alibaba Cloud to keep pace with rapid advances in AI. Together, they are addressing pain points in traditional IT education and have launched a strategic AI education initiative.

Solution: Deeply embed Tongyi Lingma into teaching scenarios for subjects such as Java and artificial intelligence to rebuild the end-to-end digital training system for “AI + Courses + Evaluation”.

Results: As a result, instructor teaching efficiency increased by 35%, and student satisfaction exceeded 95%. Chuanzhi has built China's first AI programming education model that bridges industry, academia, and research.

Conclusion

This section presents customer feedback and reviews that demonstrate the effectiveness of Tongyi Lingma in real-world operations. It also explores the future development roadmap for Tongyi Lingma and its continuous delivery of innovative solutions. The section concludes by summarizing the key role and value that Tongyi Lingma contributes to customer success.