One of the most significant benefits software teams realize when they leverage AI in the software development life cycle (SDLC) is efficiency. Developers tend to spend a lot of their time on mundane ...

This was the best metaphor I encountered that month. Newly hired young and hungry entry level staff ARE checkers. If they are ...

This movement is fueled by women in testing, who engage with empathy, curiosity, and an unwavering focus on potential pitfalls—not to disrupt, but to enhance. Redefining 'Impact' in Technology Impact ...

DevSecOps is a software development approach that emphasizes the integration of security practices into the entire software development lifecycle (SDLC). It aims to create a culture of collaboration ...

Reviving the Master Test Plan in the Age of AgileIn the competitive environment of delivering software more quickly, many teams have abandoned detailed test plans. Michael Sowers argues for bringing ...

The rise of AI in software development brings efficiency and innovation, but raises concerns about maintaining a human-centered approach. The key is to find a balance where AI tackles repetitive tasks ...

Day-to-day testing techniques, strategy, approach, and automation are all things that teams understand and will continue to implement, but how many teams understand the elements of purpose, belonging, ...

In this article we discuss virtual threads that were first introduced in OpenJDK 19, and are now in a second preview in OpenJDK 20. To better understand virtual threads, it is best to draw a ...

A set of vertices with each vertex having zero or more labels and zero or more properties/attributes. A set of edges with each edge being directed from one vertex to another vertex. Each edge has zero ...

This is an article about three ideas: project sponsorship, project wagers, and risk. Understanding their relationship is critical to becoming more effective as project managers, and organizational ...

To understand Model Context Protocol (MCP), one needs an understanding of how Large Language Models are used by AI applications. AI models need to connect to different data sources, tools, and devices ...