Let's look at the pros and cons of going full AI to help you understand how the value and purpose of software development ...
In large enterprises, hundreds or even thousands of engineering teams are working in parallel. Each team owns a specific ...
AI-powered test automation is redefining software reliability by reducing flaky tests, expanding coverage, and accelerating ...
Code is being shipped faster than ever fueled by the rise of GenAI and trends like vibe coding. While this is undoubtedly a productivity boost for organizations, there are pains on the other side ...
Our preoccupation with software development speed has made velocity the predominant metric of success for engineering teams—to the detriment of people, process, and product value. In the world of ...
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GitHub's CEO said young engineers frequently bring along fresh perspectives. They're more likely to have been early adopters of AI, in particular, Thomas Dohmke told "The Pragmatic Engineer." You ...
Software engineering teams have tried all sorts of ways to measure the software development process and developer productivity. Here’s why DORA metrics are becoming the industry standard. For years, ...
Industry eyebrows were raised recently at New York Federal Reserve Bank data showing software engineering graduates face higher unemployment rates than art history majors. The unemployment rates for ...
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