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AI and The End Of Software Development As We Know it.

Forrester IT

Past and future technologies and paradigms shifts like Agile, DevOps, low-code, and even AI have been reshaping the software development world. The software development lifecycle (SDLC), is being accelerated and reimagined as a process happening in real-time. Now, generative AI is disrupting it.

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How G-Research Used TuringBots To Transform Software Development

Forrester IT

As we outlined in previous research, Generative AI assistants known as TuringBots can serve as powerful tools to address some of the broader software development challenges. Specifically they help to automate a wide range of tasks throughout the software development life cycle (SDLC).

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Best ways to incorporate security into the software development life cycle

Tech Republic Security

With the persistence of security issues in software development, there is an urgent need for software development companies to prioritize security in the software development life cycle. The post Best ways to incorporate security into the software development life cycle appeared first on TechRepublic.

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Unlocking the potential of generative AI in the software development life cycle

CIO Business Intelligence

Generative AI is poised to redefine software creation and digital transformation. The traditional software development life cycle (SDLC) is fraught with challenges, particularly requirement gathering, contributing to 40-50% of project failures. It’s time we demand a shift in our approach to the SDLC.

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Broadcom launches VMware Tanzu Data Services

Network World

During a media and analyst pre-briefing held last week, Purnima Padmanabhan, GM of Broadcom’s Tanzu Division, said that when she talks to customers, “they ask me, from a developer perspective and from an app perspective, only one thing: ‘How can I get speed and velocity?’ I would have to say yes.”

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Reimagine application modernisation with the power of generative AI

CIO Business Intelligence

This allows for a more informed and precise approach to application development, ensuring that modernised applications are robust and aligned with business needs. 3] Looking ahead, GenAI promises a quantum leap in how we develop software, democratising development and bridging the skill gaps that hold back growth.

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Is it worth measuring software developer productivity? CIOs weigh in

CIO Business Intelligence

At the same time, developers are scarce, and the demand for new software is high. This has spurred interest around understanding and measuring developer productivity, says Keith Mann, senior director, analyst, at Gartner. Organizations need to get the most out of the limited number of developers they’ve got,” he says.