The development process improves because it is informed by real outcomes. AI learns from what happened, and the team adjusts ...

“I made this whole program in 5 minutes with just a few (Insert GenAI tool) prompts. Any developer not using AI tools to replace developers will find themselves out of a job in two years” – random AI ...

AI-powered software development isn't just making waves in the tech industry. It is causing a tsunami throughout almost every sector of the workforce, with continuous advancements that promise to ...

What if writing code felt less like a chore and more like having a skilled collaborator by your side? With the rise of AI-powered coding tools, this vision is no longer a distant dream but an everyday ...

Allocating capital to autonomous security platforms outperforms traditional consultant-driven validation models.

AI coding tools have enabled a flood of bad code that threatens to overwhelm many projects. Building new features is easier ...

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 ...

Overview: AutoOps extends DevOps by embedding AI across coding, testing, deployment, monitoring, and optimization to create ...

Results such as these highlight the growing pains AI is experiencing as the technology becomes ingrained into enterprise ...

Overview: AI platforms are shifting from experimental tools to an essential part of global digital infrastructure.Enterprise ...

AI can speed up testing, but if you trust it too much, you might ship bugs faster than ever — with no one clearly accountable.