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 ...

Software engineering is among the many fields being changed with the fast progress in large language models (LLMs). In a few years, LLMs have evolved from advanced code autocomplete tools to AI agents ...

In the coming years, generative AI (GenAI) is expected to revolutionize software product engineering. Because it presents a significant opportunity to enhance software development, drive digital ...

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 ...

If software development were music, the past decade has been a jam session: developers riffing on code, improvising solutions … and occasionally hitting a sour note. But with AI increasingly stepping ...

Pressure grows for software better aligned with business. Agile techniques have been stagnant for a decade. AI may speed up Agile team output. Agile has always had the best intentions: work side by ...

Software development is associated with the idea of not reinventing the wheel, which means developers often select components or software libraries with pre-built functionality, rather than write code ...