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The early returns on gen AI for software development

CIO

Generative AI is already having an impact on multiple areas of IT, most notably in software development. Still, gen AI for software development is in the nascent stages, so technology leaders and software teams can expect to encounter bumps in the road. “Our One example is with document search and summarization.

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Is it worth measuring software developer productivity? CIOs weigh in

CIO

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. Once IT’s in the backlog, the time it takes to get it back into production is crucial,” she says.

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6 technologists discuss how no-code tools are changing software development

TechCrunch

Blockchain gaming survey: 7 investors discuss regulation, opportunities and NFT hype. For this survey, we spoke to executives about their favorite no-code/low-code tools, the different impacts these development suites have had on the IT job market, and how to ensure minimal technical debt, among other things.

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Sleuth wants to use AI to measure software developer productivity

TechCrunch

The evidence is mixed on this, but in the software industry particularly, remote work exacerbated many of the challenges that employees already faced. “Developers, no longer in the same room, need a way to coordinate around deploys and a quick way to discover when a deploy has gone wrong. .”

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Survey Surfaces Agile Development Challenges

DevOps.com

A survey of 3,220 software development professionals published this week found that among the 80% of respondents that embraced Agile practices for building software, just under half are tracking on-time delivery (47%) and business objectives achieved (44%).

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8-10x performance upticks in next-gen infrastructure enable AI workloads

CIO

More than 91 percent of businesses surveyed have ongoing — and increasing — investments in artificial intelligence. Deploying AI workloads at speed and scale, however, requires software and hardware working in tandem across data centers and edge locations. 6-8x improvement in performance.

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3 areas where gen AI improves productivity — until its limits are exceeded

CIO

According to a research report IDC released in November, based on a survey of over 2,100 business leaders and decision makers with responsibility for AI transformation, 71% of companies already using AI are seeing returns on their AI investments within 14 months, averaging $3.50 for every $1 spent. “And