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

The development process improves because it is informed by real outcomes. AI learns from what happened, and the team adjusts its inputs. This creates a flywheel effect, with each phase building on the ...

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

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Developers have a growing array of options for AI-powered low-code and no-code development tools. But using them to their full advantage requires adopting best practices. As agentic AI takes hold ...

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 ...

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 ...

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

Kiro’s ghost mascot assists an action-figure developer on a miniature set during a stop-motion video shoot in Seattle, part of an unconventional social marketing campaign for Amazon’s AI-powered ...