Generative AI automation targets coding, debugging, documentation, and testing workflows in SDLC processes SAN JOSE, ...

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

Software quality often slips not because of major flaws, but because of small cracks in the software development lifecycle ...

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 ...

Large language models (LLMs) are ushering in a revolutionary era with their remarkable capabilities. From enhancing everyday applications to transforming complex systems, generative AI is becoming an ...

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 ...

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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Traditional caching fails to stop "thundering ...

How much more productive are developers using AI coding tools? Recently, there has been a lot of speculation that AI makes developers 2x, 3x, or even 5x more productive. One report predicts a tenfold ...

Spotify is introducing a new commercial product for software development teams called “Confidence,” which is based on its homegrown experimentation platform. Confidence is designed to make it easy for ...

Talented software developers bristle at the idea of being closely managed. Here are seven ways to align development teams and business objectives without making developers miserable. I’ve been asked ...

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 ...