Artificial intelligence is now part of modern software development. The tools available to engineers today are enabling new ...

The code can improve itself, but humans will still be responsible for understanding why something changed and whether it ...

The purpose of tracking and monitoring software engineering metrics is to assess the current product or process performance, enhance it, and anticipate the quality after the software development ...

It's important to track, measure and assess the performance of your software development teams as an engineering leader. This way, you ensure that you'll come up with the highest quality product. This ...

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 ...

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 ...

CIOs can support their teams in navigating seismic change as AI reshapes workflows and difficulties from past adoption waves ...

Last year, I wrote about the 10 ways generative AI would transform software development, including early use cases in code generation, code validation, and other improvements in the software ...

Developers have a growing array of options for AI-powered low-code and no-code development tools. But using them to their ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

In the functional safety world, once a system is developed, it remains protected as long as the system is in service. In contrast, the security world demands that software must continue to defend a ...