Lili Zhang

Baidu Comate Front-end Architect, Baidu Front-end CMC Leader

Baidu front-end architect, head of Baidu front-end CMC, head of Baidu technical organisation committee for web direction. 2023 Participated in Baidu's intelligent development tool Comate's IDE end architecture, model enhancement, etc., and has rich experience in the application of large models in software development such as renewal, generation, Q&A and so on.

Topic

Composer Class Code Generation Practices and Experiences

Introduction: After years of development of large model-based code generation, through the stages of assisted code completion, directed small-scale code generation, etc., it is actively and rapidly developing in the direction of ubiquitous, natural-language-based, and independently accomplishing coding tasks, including Cursor Composer, Windsurf Cascade, and Cline, etc., which have been released and have gained the attention of the users and their recognition. Cursor Composer In this session, we will share the basic logic, detailed considerations, and future outlook of the Composer class code generation from the practice and experience of Baidu Wenshin Express Code's research and development of similar capabilities. Outline: 1. Introduction to the application scenarios of large model coding i.The development history of large model coding ii.Common Composer class products 2.Underlying logic of self-service execution of coding tasks in big models i.Automating coding tasks using tool interactions ii.Let IDE become the eyes, hands, and feet of the model iii.Differences and targeted interaction design between code recommendation and code editing iv.Generating accurate code based on validation and fixes 3. Difficulties, details and optimization means of implementation and application i.The shape and choice of modeling tool interactions. ii.The importance and activation of the chain of thought. iii.Optimization of editing solutions for large code files. iv.Multi-model adaptation details and generation quality improvement. v. The ability to sense and fix code errors. 4. Advancement to more complex and intelligent coding tasks i.Use architect mode to solve complex tasks ii.Separate reasoning and coding to harvest cost and quality balance iii.Talking about MCP and Agent Mesh 5. Summarize and Prospect

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