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

Studies find AI helps developers release more software—while logging longer hours and fixing problems after the code goes ...

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 ...

Spec-Driven Development sets written specs before AI coding; a 4-step flow links requirements, design docs, tests, and QA.

AI transforms vehicle engineering by automating complex integration tasks and enabling continuous software evolution ...

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 ...

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

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 ...

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 ...

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