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5 dead-end IT skills — and how to avoid becoming obsolete

CIO Business Intelligence

To this end, we considered which skills could be rendered obsolete in the next few years, thanks to technical advances, and how IT pros can reinvent their skills offerings to avoid ending up with an IT career that’s not long for this world. In software development today, automated testing is already well established and accelerating.

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How to Eliminate Software Development Bottlenecks

Information Week

Here's how to prevent getting stuck. Bottlenecks waste team time, energy, and resources.

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7 sins of software development

CIO Business Intelligence

Software development is a challenging discipline built on millions of parameters, variables, libraries, and more that all must be exactly right. Still, it’s impossible to list the endless innovations that software alone has made possible. Over the years software teams have figured out a few rules for getting the job done.

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CompTIA introduces foundational tech certification

Network World

The Tech+ certification covers basic concepts from security and software development as well as information on emerging technologies such as artificial intelligence, robotics, and quantum computing. Software development: Comprehend programming language categories, interpret logic, and understand the purpose of programming concepts.

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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. How Amazon thinks about metrics.

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The early returns on gen AI for software development

CIO Business Intelligence

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. “It One example is with document search and summarization.

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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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How AI and ML Can Accelerate and Optimize Software Development and Testing

Speaker: Eran Kinsbruner, Best-Selling Author, TechBeacon Top 30 Test Automation Leader & the Chief Evangelist and Senior Director at Perforce Software

It's no secret that CTOs need to have a full understanding if they want to be successful, but does that make them responsible for developer productivity? While advancements in software development and testing have come a long way, there is still room for improvement.

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Building Evolvable Architectures

Speaker: Dr. Rebecca Parsons, CTO of ThoughtWorks

The software development ecosystem exists in a state of dynamic equilibrium, where any new tool, framework, or technique leads to disruption and the establishment of a new equilibrium. Join Dr. Rebecca Parsons, CTO at ThoughtWorks, as she presents: How to build evolvable solutions.

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An Adult Conversation About Estimates

Speaker: Beekey Cheung, Software Consultant, Professor Beekums, LLC

Estimates are a contentious topic in software development. Most of our development teams hate providing estimates and many managers are starting to view them as unnecessary. As senior software leaders, how can we determine whether estimates are helpful or harmful to our teams?

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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. How data-driven performance reviews do that.