AI is writing a large proportion of modern software and Generative AI coding tools make enterprise applications worse. This episode of the Tech Field Day podcast looks at AI generated applications with Calvin Hendryx-Parker, Jim Czuprynski, Jay Cuthrell, and Alastair Cooke. Satya Nadella says that up to 30% of the code Microsoft writes is AI generated, AWS is at about 25% AI generated code. We ponder whether there is a link between this AI generated code and the quality of the Windows 11 codebase, possibly even the recent AWS outage? Calvin has hands-on experience with a range of AI coding tools, finding he uses different AI tools for specialist tasks in his development projects. The easy task for AI coding is translating existing applications from one platform version to another, or rewriting existing application code in new languages. Both these tasks are onerous for human developers and ideal for an AI assistant. The unanswered question is whether generative AI tools can handle creating new functionality in enterprise applications, can AI fulfill the role of the senior developer or software architect?
Panelists
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Alastair Cooke |  |
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Alastair is a Tech Field Day event lead at the Futurum group, specializing in Cloud, DevOps, and Edge. |
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Calvin Hendryx-Parker | ||
AWS Community Hero | Python, Django, Orchestration & Containers | CTO and Founder | IndyPy & IndyAWS | FreeBSD, Linux & ZFS |
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Jay Cuthrell | ||
👋 Hi. I’m Jay. Chief Product Officer at NexusTek. I write things at fudge.org. 🤓 |
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Jim Czuprynski | ||
Jim Czuprynski is an in-demand public speaker and technology advocate focused mainly on databases, analytics, spatial/graph, and AI. |
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