Microsoft has launched the second preview of its .NET AI Chat Web App template, which aims to ease the development of cloud-native, AI-driven chat applications. This follows the initial preview released on March 6 and introduced on April 17. The updated template enhances the development process by
In today's fast-paced digital economy, businesses must constantly innovate to stay relevant and competitive. Application modernization is key to achieving this, transforming outdated IT infrastructures into agile, scalable, and secure systems capable of meeting ever-evolving business goals and
Artificial Intelligence (AI) has brought significant changes to software development, massively impacting programming practices and transforming how code is created, debugged, and maintained. However, these advancements come with their unique set of challenges that must be addressed to preserve
The software development landscape has seen exponential growth and changes with the advent of Agile methodologies. Among these innovations, the Agile shift-left approach stands out as a transformative strategy for enhancing software quality and security. It focuses on integrating key activities
Asynchronous programming in Python is a transformative approach to improving performance and responsiveness in I/O-bound applications. By allowing multiple tasks to run concurrently within a single thread, it offers an efficient way to manage operations involving waiting, such as network requests
Stanford University researchers have unveiled DSPy, an open-source Python framework poised to transform AI development by simplifying the creation of applications powered by large language models (LLMs). DSPy signifies a pivotal shift from traditional prompt engineering to high-level programming,
