In a new reality where the widespread use of LLMs has fundamentally altered what users expect from software, ISVs have to ...

Deductive AI raises $7.5 million to automate software debugging with machine learning, helping engineers fix production ...

In the world of software, web apps, and AI platforms, the original MVP model is too slow, too clunky, and increasingly ...

The economics of the software package era were interesting. Each version of a given software package was to be written, ...

According to BairesDev’s data, developers currently divide their time between writing code (48%), debugging (42%), and ...

Integrating a Secure Product Development Framework into the product development lifecycle can help ensure security from the ...

"Software is never done and must be managed as an enduring capability that is treated differently than hardware," observed ...

The iron triangle says pick two of three: fast, good, or cheap. Lean startup methods challenge this by using MVPs and ...

This creates what you might call the AI workflow paradox: the faster we can generate code, the more critical it becomes to ...

In today’s rapidly evolving tech landscape, centralized architectural decision-making can become a bottleneck to delivery performance and innovation. Through stories from our own journey, we’ll share ...

The automotive industry is undergoing a profound transformation. Vehicles are no longer just mechanical machines, they are becoming sophisticated, software-defined platforms packed with electronics ...

Generative AI has unquestionably increased raw coding velocity as part of the software development lifecycle (SDLC). Tools can churn out syntactically correct boilerplate, REST endpoints, and data ...