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

For software developers today, staying competitive means embracing AI technologies. Here’s how some developers are staying ahead of the curve.

AI is becoming a strategic differentiator in industrial automation; those who learn to apply it effectively will shape the next generation of industrial projects.

Organizations must proactively manage developer risk through establishing a self-governance strategy—one that accounts for ...

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

Artificial intelligence continues to reshape the digital landscape, and as we move into 2026, the pace of change is accelerating. Businesses across industries are leaning more heavily on AI software ...

Harris, a neuroscientist and philosopher, is a vocal proponent of existential risk awareness with regard to AI. He’s argued that the development of superhuman AI is inevitable and poses a potentially ...

In the SDLC, there should be no shortcuts. Developers must view AI as a collaborator to be monitored, rather than an autonomous entity to be unleashed.

More companies are moving to integrate custom AI agents into business operations. Here are eight essential capabilities to look for when evaluating AI agent development tools and platforms. Do a quick ...

Google’s State of AI-assisted Software Development Report 2025 reveals AI adoption increased, but trust in AI is still uneven. Source: Envato/wutzkoh Many software developers use AI, but not all trust ...