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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.

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Is it worth measuring software developer productivity? CIOs weigh in

CIO

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.

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

CIO

Generative AI has forced organizations to rethink how they work and what can and should be adjusted. Specifically, organizations are contemplating Generative AI’s impact on software development. AI won’t replace developers Generative AI has introduced a level of software development speed that didn’t exist before.

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InnerSource, a practice that brings open-source principles to internal software development within organizations

Xebia

InnerSource can be defined as the application of open-source software development principles within an organization’s internal software development processes. It draws on the valuable lessons learned from open-source projects and adapts them to the context of how companies create software internally.

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IDC Analyst Report: The Open Source Blind Spot Putting Businesses at Risk

In a recent study, IDC found that 64% of organizations said they were already using open source in software development with a further 25% planning to in the next year. Most organizations are unaware of just how much open-source code is used and underestimate their dependency on it.

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What is agile methodology? Modern software development explained

InfoWorld

It’s hard to believe that the agile software development methodology officially turned 20 years old last year. What once was an outlying practice for startups collaborating in colocated spaces with stickies and whiteboards is now a sophisticated, scalable, and widely used set of agile software development processes and tools.

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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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Building Like Amazon

Speaker: Leo Zhadanovsky, Principal Solutions Architect, Amazon Web Services

Amazon's journey to its current modern architecture and processes provides insights for all software development leaders. To get there, Amazon focused on decomposing for agility, making critical cultural and operational changes, and creating tools for software delivery. The "two pizza" team culture.

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Data-Driven Performance Feedback Helps Teams Improve Customer Outcomes

Speaker: Mickey Mantle, Founder and CEO at Wanderful Interactive Storybooks | Ron Lichty, Consultant: Interim VP Engineering, Author, Ron Lichty Consulting, Inc.

In order to be successful at delivering software, organizations need to become data-driven. And in the era of agile, which recognizes that software development is a team sport, performance reviews need to use data for programmer growth and to give focus to business results.