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AI驱动的软件交付:利用精益、ChOP和LLM在QCon创造更高效的学习体验.pdf

上传人: 竿*** 编号:981752 2025-11-29 58页 50.51MB

1、AI-Driven Software DeliveryLeveraging Lean,ChOP&LLMs to Create More Effective Learning Experiences at QCLean Thinking combined with AI is a superpower(But people,expertise and domain knowledge has never been more important)Wesley Reisz Technical Principle Equal Experts North America&Chair QCon.AI 1B

2、irth of a new ProductTesting the smallest thing that proves valueAI to DeliverLeveraging AI to build a modern software product(MVP)AgendaVideo Transcription PipelineRAGArchitectureWorkshop&RetrospectiveWhat happened and what were our lessons learnedChatGPTSupervised CodingAgentsKey TakeawaysBuild th

3、e Right Thing There is no point in building something fast if you are building the wrong thing.Combining AI with a lean thinking approach powerful to product market fit.There are NO Silver Bullets Code generation tools like Cursor,Github CoPilot,Windsurf,and others,along with advanced frontier model

4、s such as GPT 4(now 4.5)and Claude Sonnet 3.7(now 4),are evolving rapidly and can offer incredible productivity.Using them effectively requires expertise and guidance.Embrace Change AI tools today to not represent thinking.At the end of the day remember expertise matters in building innovative syste

5、ms that scale well and perform.Individuals and interactionsover processes and tools AI is incredible but even in an AI centric world,dont ignore the people and interactions in your systems and use The Birth of a ProductInfoQ Certified Software Architect in Emerging TechnologiesThe InfoQ Certified So

6、ftware Architect in Emerging Technologies(ICSAET)is a specialized certification program designed for senior software architects aiming to enhance their expertise in implementing emerging technologies at scale.Offered during QCon London 2025,the program spanned four days from April 7 to 10,combining

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根据报告的内容,全文主要内容概括如下: 1. **AI与精益思维的结合**:利用AI和精益思维创建更有效的学习体验,强调人员、专业知识和领域知识的重要性。 2. **产品开发**:通过AI构建现代软件产品(MVP),强调“做正确的事”比快速做事更重要。 3. **AI工具**:介绍代码生成工具(如Cursor、Github CoPilot)和前沿模型(如GPT 4、Claude Sonnet 3.7)的快速发展和生产力提升,但强调有效使用需要专业知识和指导。 4. **RAG架构**:介绍RAG(检索增强生成)架构,通过检索相关文档来增强语言模型的输出。 5. **视频转录流程**:展示如何使用AWS服务创建视频转录流程,包括上传、转录、分块、嵌入和存储。 6. **监督编码代理**:探讨监督编码代理在代码生成中的作用,强调结构化和纪律的重要性。 7. **ChatGPT**:介绍ChatGPT在代码生成中的应用,强调定制GPT和MCP(多步骤交互上下文管理协议)的重要性。 8. **工作坊与回顾**:总结工作坊和回顾中的经验教训,强调精益思维、人员互动和AI工具的有效结合。
"AI赋能,产品如何精准定位?" "代码生成工具,效率提升还是陷阱?" "AI时代,人机协作新篇章?"
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