AI is speeding up coding, but production is still hitting bottlenecks—a paradox that requires intelligent solutions.

Researchers have developed a new, data-driven machine-learning technique that speeds up software programs used to solve complex optimization problems that can have millions of potential solutions.

Forbes contributors publish independent expert analyses and insights. Gary Drenik is a writer covering AI, analytics and innovation. The role of the software developer is undergoing a significant ...

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 ...

There are numerous professionals who influence the technological landscape with their innovative and meticulous work. One such accomplished individual is Gaurav Shah, an expert in embedded software ...

The problem of technical debt is well known, but it's time to put ethical debt on the list of the top software development risk factors. AI projects bring the issue of ethical debt to a head, where ...

OpenAI is at the forefront of developing sophisticated AI agents that are set to transform the landscape of software engineering. These innovative tools represent a significant leap forward in AI ...

It’s time we officially bury the idea that AI means we won’t need software developers. For years, we’ve heard that generative AI and large language models (LLMs) are coming for our jobs. In software ...

AI ushered in a new era in software development last year, driving significant gains in productivity, code quality, and innovation. As technology leaders navigate this new landscape, many are still ...