Generative AI Coding Tools Make Enterprise Applications Worse

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?

The Year of AI at AI Field Day 4

Everybody says that 2024 is the year of AI, but our industry has been building the foundation for years. From processors and accelerators to storage and data platforms, applications that leverage machine learning have special demands. That’s the focus of AI Field Day, which features an entire day sponsored by Intel, plus two more days filled with presentations by a diverse range of companies. The next AI Field Day event is February 21st through 23rd. The event will be broadcast live on LinkedIn and on the Tech Field Day website, starting at 8:00 a.m. Pacific time, Wednesday through Friday, with more presentations throughout the day from VMware by Broadcom, VAST Data, Hammerspace, Qlik, Solidigm, and a whole day of presentations presented by Intel with key partners and customers.