Yuming Zhang
Senior Technical Specialist, Alibaba
Specialized in R&D efficiency, he has more than 10+ years of practical experience in developer tool building, enterprise R&D collaboration platform architecture and implementation. In Ali, he has led the construction and commercialization of the self-developed code hosting platform 0-1, led the team to explore the field of code intelligence and Cloud IDE, and pushed the transformation and landing of the Cloud Effect 5.0 all-platform public-proprietary integration architecture, and is also the initiator and promoter of Alibaba's P3C open source code statute detection tool. He is also the initiator and promoter of Alibaba's P3C open source code statute detection tool. Currently, he is mainly committed to exploring the effective landing practice of AI Agent in TONGYI Lingma products, and further improving the intelligent coding experience of developers.
Topic
TONGYI Lingma AI programmer demystified: AI Agent in the field of software R & D landing practice
With the rapid development of big language modeling technology, AI-assisted programming tools are reshaping the software development paradigm. This presentation will deeply analyze the technical architecture and practical experience of TONGYI Lingma AI programmers, and discuss how to break through the capability boundaries of traditional intelligent coding assistants through AI Agent technology. The presentation will focus on sharing key technologies such as code full engineering understanding and code generation based on big model, Agent framework design concept, model training, and innovative applications in requirement understanding, multi-file code change, single test generation and other scenarios. At the same time, it will show the actual effect of AI programmers in improving development efficiency and code quality, and look forward to the future development trend of software R&D intelligence. Outline: 1. the history of software engineering development and the development of intelligent coding tools in recent year 2. the new paradigm of software development under the big language model 3. Problems that developers often encounter when using intelligent coding tools. 4. How AI Agent can further improve coding experience and development efficiency. 5. AI Programmer Technical Framework and Core Competency Construction of TONGYI Lingma 6. Demonstration of typical application scenarios of AI Programmer 7. Next Step: Explore the intelligent evolution path of the whole life cycle of software development.
