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Liaoyuan Zhang

Product Leader of Tongyi Lingcode

Product leader of Tongyi Lingcode, and expert of BizDevOps, he has experienced consumer electronics, communication and Internet industries, and has been engaged in software R&D management, effectiveness improvement and product innovation for a long time, and is responsible for organisational effectiveness improvement implementation and transformation, and digital R&D management system construction. He is responsible for the implementation and transformation of organisational-level performance improvement and the construction of digital R&D management system. He has translated ‘Programmer Metrics’, ‘Software Exorcism’, etc., and lectured on ‘36 Measures of R&D Effectiveness’ and ‘Alibaba's Three Axes of R&D Effectiveness’, and has experience in speaking at industry-related technical conferences and Alibaba's meetings, and has a deep insight into digital development.

Topic

AIGC Drives R&D Evolution: How to Build an AI R&D Tool that Scales to Millions of Users

The paradigm of software application development is changing, users only need to define the problem, put forward the requirements, and the development of an application in minutes will become the norm. Through ‘human + AI R&D tools’, every human programmer will become a super individual. The AIGC era provides new productivity for software R&D teams and reduces costs and increases efficiency for enterprise software development. This sharing will deeply analyse the development of global AI R&D tools, start from the whole process of software R&D, introduce in detail how the emergence of AI will change the existing R&D mode, and further analyse the product and technological breakthroughs behind the intelligent coding, to help developers to complete all kinds of tasks in software R&D activities. Outline: 1. the evolution and development trend of AI coding 2. How to measure the benefits of AI coding to enterprises 3. A coding assistant's domain key engineering technology and practical experience 4. how developers can use an AI coding assistant from the scenario perspective 5. the outlook of future software development trends