The Future of Software Engineering
summary
History-driven roadmap that ties concrete tools to concrete tradeoffs: claims that modern systems mix symbolic and learned components, demonstrated by work on neuro-symbolic architectures running on four Nvidia Jetson Nanos in a Kubernetes cluster; cites transformers as the current dominant pattern (basis of GPT-3 and AlphaGo), notes Photoshop underwent four or five major architectural transformations, and points to Amazon’s “everything as a service” decision that enabled AWS. Also flags ethical choices like IBM’s refusal to sell facial recognition.
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chapters (13)
- 0:00Introduction by host
- 1:20Keynote speaker introduction
- 3:25History of engineering and software
- 10:03Software project lifecycle
- 13:17Women in software engineering
- 20:01Evolution of programming languages
- 26:14Object-oriented analysis and design
- 30:06Rise of Agile and DevOps
- 36:47Modern web-centric systems
- 42:04Artificial intelligence fundamentals
- 50:50Future of AI in software systems
- 57:31Ethics in software development
- 1:02:28Q&A session
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