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人工智能时代软件工艺的未来(由 Snyk 赞助).pdf

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1、 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.AIM228The Future of Software Craft in the ageof AIClinton HergetField CTO 2025-08-12 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Software is a

2、 craft industry,and the craft of writing software will never become obsolete.“FREEMAN DYSONAstrophysicist,“Dyson Sphere”Guy 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 affili

3、ates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Pre-AutomationBuilding bespoke cars by hand,one at a time.Post-AutomationManaging the new complexities resulting from the assembly line.Moral of the StoryToday,auto mechanics are more in demand than ever!What

4、 is craft engineering?Consider the“automotive engineer”.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.New technologies dont make engineers obsolete.WHAT CAN WE LEARN?But they do change the nature of the craft.Pride of creation becomes pride of maintenance.2025,Amazon Web Service

5、s,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025:Not the first time software engineering has been disruptedEach time,the number of engineers increased why?2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Automation

6、and Abstraction Solve Some Problems But Create OthersEliminating“undifferentiated heavy lifting”makes more things to lift.Every new technology introduces more complexity,which inevitably results in unpredictable behavior.Thus,more engineers are needed to understand the machine and fix it when it bre

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根据报告的内容,全文主要内容概括如下: 1. 软件工程在AI时代仍具价值,新技术虽改变工作性质,但工程师需求增加。 2. 自动化和抽象化解决了一些问题,但也创造了新的复杂性,需要更多工程师来理解和修复。 3. AI引入的不确定性加剧了复杂性,需要新的软件工程思维。 4. 安全成为软件工程师的主要责任,AI信任成为关键。 5. AI信任平台通过可见性、优先级和策略来管理AI开发过程。 6. AI信任的三种引擎:事实引擎、流引擎和威胁引擎,用于学习、评估和测试。 7. 工程师的价值链上升,对安全的重视增加,信任源于理解。
"AI时代,软件工匠何去何从?" "AI信任,软件工程师的新挑战?" "从LLM到AI信任,软件工程新范式?"
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