Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

AI can write so much code in so little time, it must be making us more productive, right? Maybe not if it isn’t writing the code we need. The current generation of AI works by amalgamating existing ...

Slow and insufficient definition of requirements, time-consuming coding and error-prone bug detection are just some of the issues that teams face in the software development life cycle (SDLC).

As this year comes to a close, many experts have begun to look ahead to next year. Here are several predictions for trends in ...

This represents a waterfall type of approach to project planning, where one phase flows into the other. It works well for certain industries such as construction and manufacturing, but it is less ...

Considering the scaling history and trajectory of generative AI models (specifically large language models, or LLMs) specialized for coding, the software development life cycle (SDLC) is ripe for ...

According to new research from Google, 90% of software developers are using AI at work — with 65% "heavily reliant" on it. A staggering 90% of software developers now use AI to carry out their ...

Civil engineers can rightfully claim that no two bridges are exactly alike. However, bridges share many known characteristics, and the materials they are built with have known characteristics.