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Mending the rift between business stakeholders and development teams

Xebia

In today’s business world, the synergy between stakeholders, product management and development teams are paramount. Customer’s problem At one of our major clients at Xebia customers complained, that the project velocity was inconsistent, while the development team seemed perpetually busy.

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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. Early use cases include code generation and documentation, test case generation and test automation, as well as code optimization and refactoring, among others.

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Writing Useful Performance Reviews: Evaluating the data and writing the review

Puppies, Flowers, Rainbows and Kittens

This article is the second in a four-part series on writing performance reviews. In this article, I talk about filling out the review form. The final post covers delivering the review. Before you begin to write your review, make sure you have the role and level definition for the person’s current role and level.

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Generative AI: the Shortcut to Digital Modernisation

CIO

Generative AI can help businesses achieve faster development in two main areas: low/no-code application development and mainframe modernisation. Developers can create and modify applications independently, reducing the burden on IT teams to focus on more strategic and complex tasks.

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The Hidden Gem of Savings in the Software Delivery. And no, it’s not AI

CIO

According to Deloitte research , AI will boost the productivity of software development processes from 50% to 1000%. It will improve project management, help with requirements creation, assist developers with coding, cover the system with auto-tests, report defects, and improve deployment.

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Production Deployment and its Basics: Known to Many, Followed by Few

Perficient

When you focus on national players during significant events, you can observe stress and anxiety in performing at that level. Teams follow a multi-step process called the SDLC (Software Development Life Cycle) model to manage this stress and increase success. System Design: Outline the architecture and design specifications.

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Deep Science: AI adventures in arts and letters

TechCrunch

But you can stay tolerably up to date on the most interesting developments with this column, which collects AI and machine learning advancements from around the world and explains why they might be important to tech, startups or civilization. It requires a system that is both precise and imaginative.