Expertise Blog (Page 6)

This article explains how AI code assistants can help with legacy system modernization, including areas where they improve productivity, their limitations, and the best practices for combining AI tools with human expertise to safely modernize complex legacy applications.

The article provides insights into the significance of hiring Microsoft developers for businesses and offers a step-by-step guide to streamline the hiring process.

What goes into building medical imaging software? This article explores the key types of imaging solutions, the technologies behind them, and the full development process from concept to clinical deployment.

The article explains asynchronous programming as a way for programs to handle multiple tasks. It highlights how this approach prevents blocking, improves resource usage, and is especially useful for tasks involving external systems.

Learn how DRM software works, where it is used, and how it helps protect digital content and intellectual property.

A solid BPM system can help companies of any size efficiently streamline their business processes. Find out what types of BPM systems exist and how businesses implement BPM tools in practice to improve their workflows.

This article explains what vibe coding is and why it has become a popular approach for building software using AI. It also explores why vibe-coded applications often fail in production and how combining AI with proper engineering can make them more resistant.

This article explains how to implement a Product Information Management (PIM) system to centralize, organize, and distribute product data across multiple channels. It provides a step-by-step guide, best practices, and tips for avoiding common pitfalls to ensure successful adoption and long-term scalability.

This article provides an overview of Digital Asset Management (DAM). It covers the benefits of DAM, discusses the types of DAM systems, highlights popular DAM tools, and offers guidance on how to develop a DAM system for a business.

AI-generated code looks right but often fails in real use. This article explains why it happens and how to fix it.