René van Osnabrugge makes the case that AI's biggest opportunity in software development is not faster coding -- it's reducing the friction everywhere else in the SDLC.

In 2020, it was projected that U.S. companies lost over $2 trillion due to poor-quality software. These costs came from unsuccessful projects, legacy software and operational failures, adding to a ...

The automation waves of the past rewarded companies with the best systems, not the most robots, and AI will be no different.

SDLC wasn’t built for the era of AI. Its rigidity, fixed assumptions, and built-in constraints come at a cost.

Software development AI has evolved far beyond code completion. Writing functions or suggesting syntax is no longer the ...

Addressing the pervasive challenges within the software development lifecycle (SDLC), such as poorly defined requirements, fragmented team efforts, and the substantial costs associated with technical ...

With the persistence of security issues in software development, there is an urgent need for software development companies to prioritize security in the software development life cycle. Apart from ...

The maxim “English is the new programming language” has become a reality in enterprise software. With the rise of natural language processing and artificial intelligence (AI) copilots, what the ...

In working for multiple companies I’ve been surprised at the lack of regimen that is used when deploying critical custom applications in their data center. There is a development process that some of ...