Parts of this blog, including the code examples and architecture frameworks, were generated using Keyhole Software’s EnterpriseGPT web client—an open-source tool that empowers organizations to deploy user-friendly chatbot solutions with ease. Interested in exploring further? Contact our team, and we’d be happy to provide credentials for you to try it out. The Rise of Python and Other Languages We’ve seen …
This blog post serves as a thought experiment, delving into potential solutions for a pattern I have noticed on projects throughout my career. As a consultant, I work with many companies, each with unique ways of organizing and handling software development. However, throughout my career at Keyhole and elsewhere, I’ve noticed something that seems to be consistent across all dev teams: the existence of legacy code.
Legacy code can be frustrating and time-consuming to work with, so I used AI to create a solution to mitigate the hassle. While other solutions may already exist (and some may be more efficient), I found the process of creating this tool expanded my understanding; it really helped me grow as an engineer.
So, I’m using this blog post to share my process with you! Let’s dive into how AI can assist in improving application design (specifically legacy code) through automation.
The topic of AI seems to be everywhere lately. At this point, I’ve consumed many hours of content regarding what it is and how it’s going to change the world… whether we want it to or not. However, I haven’t actually developed much code with it.
I’ve been writing code in some form since the early 2000s, but I have almost no practical experience with AI as used for development. Sure, I understand the basics, and I have a personal subscription to Chat GPT. But besides a couple of fun pictures that I’ve created of two of my past dogs that were never alive at the same time, I’ve not had much experience using it for code.
In this article, I’m going to test Chat GPT to see how much I can accomplish while writing as little actual code as possible.
Erik Hermansen, a Director of Engineering at Bayer, joins us on the Generative AI in the Enterprise podcast today. Erik is a self-taught software engineer who is passionate about bleeding-edge techs, like Generative AI and LLMs. He has a lot of sympathy for folks who feel overwhelmed and overloaded by all the hype around GenAI. His advice is to slow …
Keyhole Software is excited to announce the release of EnterpriseGPT, a powerful web application designed to help enterprise IT organizations leverage AI while maintaining control over their sensitive data. Built to integrate with OpenAI’s GPT-3.5 and GPT-4.0, EnterpriseGPT offers a tailored, secure solution for businesses seeking AI-driven efficiency. EnterpriseGPT addresses a common concern in the industry: protecting proprietary code and …
