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AI 代码到生产环境:上下文很重要 [重复].pdf

上传人: 明**** 编号:1013584 2025-12-21 13页 370.28KB

1、 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.N T A 4 0 4 R 1Pranjit BiswasMarcus MattsonAI Code to Production:Context Matters(He/Him)Solution A

2、rchitect(He/Him)Sr.Solution Architect 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.What Well Cover TodayUnderstanding the AI code production problemThree essential context layers for successCode TalkTransforming AI from liability to advantageKey TakeawaysQ&A 2025,Amazon Web Ser

3、vices,Inc.or its affiliates.All rights reserved.The$50,000 Question 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.The Context Problem 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Why AI Code Fails in Production AI models trained on code,not your business Mi

4、ssing awareness of your technical constraints No knowledge of your AWS environment Unaware of compliance and security requirements No visibility into cost implications 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.The Solution:Context EngineeringThree-Layer Context Framework for

5、 AI Code Generation:Business Context:Ensures alignment with requirements and compliance needs Technical Context:Addresses architecture constraints and integration concerns AWS Context:Optimizes implementation with AWS services and best practices 2025,Amazon Web Services,Inc.or its affiliates.All rig

6、hts reserved.Transforming AI into Advantage 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.From Concept to ProductionRequirementsUser StoriesAcceptance CriteriaDesignArchitectureData ModelsComponent DesignUX DesignTasksC

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根据报告的内容,全文主要内容概括如下: - **核心问题**:AI代码在生产中失败的原因,包括模型训练与业务不匹配、技术限制、AWS环境不熟悉、合规性和安全性要求缺失、成本影响不明。 - **解决方案**:通过“上下文工程”解决,包括三层上下文框架: - **业务上下文**:确保与需求和合规性需求一致。 - **技术上下文**:处理架构约束和集成问题。 - **AWS上下文**:利用AWS服务和最佳实践优化实施。 - **AI优势转化**:从概念到生产的转化过程,包括用户故事、验收标准、设计、任务和资源。 - **关键点**: - AI代码失败的原因分析。 - 上下文工程的三层框架。 - AI代码从概念到生产的转化步骤。 - 资源和工具介绍,如Kiro网站和AI驱动开发工作坊。
"AI代码生产难题揭秘" "如何让AI代码从负担变优势?" "AI代码生产,环境配置是关键!"
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