6 essential rules for unleashing AI on your software development process - and the No. 1 risk
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6 essential rules for unleashing AI on your software development process - and the No. 1 risk
"Agile has always had the best intentions: work side by side with the business to cooperatively build software that actually works, versus confining development to technically driven, siloed projects. Of course, in practice, things didn't always go smoothly. Agile didn't scale too well to large groups or organizations, for one. Organizational politics and inertia often got in the way of this sought-after utopian business-IT alignment."
"That hope is reflected in Digital.ai's 18th State of Agile Report, which says AI and AI agents are speeding up -- and potentially improving the quality of -- the building and delivery of software. And not a moment too soon -- technology teams are under relentless pressure to increase the ROI of their products, as well as innovation in said software. The survey's authors gathered insights from nearly 350 participants, primarily Agile coaches and consultants from large enterprises with more than 20,000 employees."
Agile intended to align business and IT by collaboratively building functional software rather than running siloed, technically driven projects. In practice, Agile struggled to scale across large organizations because of organizational politics, inertia, and inconsistent enterprise competency. Adoption has plateaued for nearly a decade, with most organizations still maturing in Agile practices and only a small fraction reporting deep embedding. AI and AI agents are reported to speed up development and potentially improve quality, offering a path to increase product ROI and innovation under mounting business pressure. The survey collected responses from nearly 350 primarily enterprise Agile coaches and consultants.
Read at ZDNET
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