AI is powerful, but it is not magic. Just because developers use AI tools does not mean outcomes will improve automatically.

I have observed that many lessons from software development experience can be applied to management of software development teams and that the opposite is also true — many lessons from management of ...

Software development and deployment cycles keep accelerating, thanks in large part to artificial intelligence (AI), which can generate code and make suggestions. Even with such hyper-productivity, IT ...

If you’re using software development productivity metrics to evaluate developer performance, then you’re doing it wrong. For best results, tie them to business outcomes. I cringe when development ...

Cycle time serves as the speedometer for engineering teams, providing valuable insights into their development process. By measuring and improving cycle time, teams can accelerate innovation, stay ...

Human activity has caused precipitous increases in greenhouse-gas (GHG) emissions, resulting in a one degree warming of average global surface temperatures over the past century. As the planet ...