Agile methodologies constitute a family of approaches that prioritise iterative development, cross-functional collaboration and adaptive planning to deliver software in small, incremental increments.

In modern-day working environments, Agile is becoming an increasingly popular project management methodology used to organize projects. Although it originated in the software development industry, ...

Six different Agile project management methodologies exist, each of which offers specific project management approaches for software development teams. This cheat sheet summarizes the key principles ...

In the software industry, in which I have worked for the past 25 years, we often use the adage, "What's old is new again." Today's messaging tools like Slack and Teams, for example, owe a lot to the ...

Everyone talks about agile development, but how does it really work? Learn how teams use scrum, kanban, and other agile methodologies to deliver better software. It’s hard to believe that the agile ...

Agile methodologies are gaining popularity in industry although they compromise a mix of accepted and controversial software engineering practices. Both global software development and agile ...

Ernie Smith is a former contributor to BizTech, an old-school blogger who specializes in side projects, and a tech history nut who researches vintage operating systems for fun. For business leaders ...

Agile development has been established as a useful and productive methodology in professional IT circles. Is it important for agile development concepts to be included in college-level computer ...

Ernie Smith is a former senior editor and journalist who has contributed to publications such as Vice Magazine. He is a tech history nut who researches vintage operating systems for fun. Collaboration ...

Most organizations today practice some form of agile development, but it wasn't always so. To understand agile's success, it helps to look back to the heyday of the waterfall methodology and the birth ...

Companies of all sizes are implementing AI, ML, and cognitive technology projects for a wide range of reasons in a disparate array of industries and customer sectors. Some AI efforts are focused on ...