In the previous blog post,  we explored how LLMs are changing the way we develop software and how we need to think differently about data, engineering, and architecture to cater to them. In this second part, I will explore testing, observability, and the related aspects of ethics a little further. And when it comes to LLM-powered applications, testing is certainly not second fiddle. In fact, it could be argued that it is even more important than in traditional software develo

As organizations race to keep pace with rapidly evolving technology landscapes, software modernization has become a crucial strategic...

Artificial Intelligence has transformed software development by enhancing productivity, code quality, and automation. Initially, AI in...

In my previous article , we explored the foundational considerations for modernizing to a serverless stack, focusing on how to evaluate...

This article first appeared in Snapt. So, you have a web application, and you are considering exploring some machine learning (ML)...

This article first appeared on Snapt. Implementing a machine learning (ML) model in an application is only a small part of the journey....

This article first appeared in Snapt. In previous articles, we looked at how machine learning (ML) works and how to choose the right...

This article first appeared on Snapt. In a previous article, we introduced machine learning and how it works. You can choose from a wide...

This article first appeared on Snapt. In a previous article, we provided an introduction to artificial intelligence (AI) and the...

Over the past few weeks, I’ve looked at various classifications of artificial intelligence some tips on how to test AI along with how to...