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The Question Is No Longer “If” But “How” AI Is Transforming Software Development

Forrester IT

In the rapidly evolving landscape of software development, one month can be enough to create a trend that makes big waves. In fact, only a month ago, Andrej Karpathy, a former head of AI at Tesla and an ex-researcher at OpenAI, defined vibe coding in a social media post. This approach to software development uses […]

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6 enterprise DevOps mistakes to avoid

CIO Business Intelligence

It may surprise you, but DevOps has been around for nearly two decades. Driven by the development community’s desire for more capabilities and controls when deploying applications, DevOps gained momentum in 2011 in the enterprise with a positive outlook from Gartner and in 2015 when the Scaled Agile Framework (SAFe) incorporated DevOps.

Devops 358
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7 tell-tale signs of fake DevOps

CIO Business Intelligence

There’s no doubt that DevOps has helped many IT organizations achieve their goal of delivering applications and services faster and better than traditional software development processes. It’s the CIOs responsibility to ensure that development teams aren’t intentionally or unintentionally straying off the DevOps path.

Devops 363
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Lessons from the field: How Generative AI is shaping software development in 2023

CIO Business Intelligence

Specifically, organizations are contemplating Generative AI’s impact on software development. While the potential of Generative AI in software development is exciting, there are still risks and guardrails that need to be considered. Therefore, the technology will only be as good as the data provided.

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Reimagine application modernisation with the power of generative AI

CIO Business Intelligence

According to research from NTT DATA , 90% of organisations acknowledge that outdated infrastructure severely curtails their capacity to integrate cutting-edge technologies, including GenAI, negatively impacts their business agility, and limits their ability to innovate. [1] The foundation of the solution is also important.

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Is it worth measuring software developer productivity? CIOs weigh in

CIO Business Intelligence

“Focusing on innovation and tech deployment helps pinpoint and eliminate obstacles that impede tech teams,” she says, adding that while measuring software development production is essential for IT digitalization, it also requires a careful rollout to maintain a healthy team dynamic.

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DevOps success relies on supportive and communicative senior leaders, research shows

Computer Weekly

The 2017 State of DevOps Report highlights why supportive, communicative and visionary senior leadership is a must for agile software development to succeed

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