I went off the deep end with AI (newsletter.masilotti.com)

In a recent experiment, software developer Joe Masilotti built a product called PurchaseKit—an in-app purchase solution for iOS and Android—utilizing over 90% AI assistance. Despite initial skepticism about the ease of coding, Masilotti discovered that AI could effectively handle routine tasks like user management and billing with minimal human intervention. This reflects a significant shift in the software development landscape, where coding has become less about writing lines and more about defining what to build. While he encountered some AI-generated errors, he found the process streamlined, allowing for rapid fixes and the establishment of effective regression tests. This development poses crucial implications for the AI/ML community, especially regarding the future of coding as a discipline. As Masilotti notes, the real challenges now lie in understanding what users need, delivering reliable solutions, and providing ongoing support—instead of simply writing code. For consultants, like Masilotti, the focus may need to shift from traditional coding services to advisory roles or automation tools that leverage their expertise. This evolving dynamic compels industry professionals to rethink their business models and adapt to an era where AI can significantly reduce the workload of coding, thus redefining the value and role of developers.