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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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Leveraging Standardization and Automation to Facilitate DevOps Testing in Multi-Code Environments

CIO

By Milan Shetti, CEO Rocket Software In today’s volatile markets, agile and adaptable business operations have become a necessity to keep up with constantly evolving customer and industry demands. The problem with unstructured manual testing processes The benefits of DevOps testing revolve around increased speed and flexibility.

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QA Wolf exits stealth with an end-to-end service for software testing

TechCrunch

QA Wolf , a cloud-based platform designed to detect bugs in software, today exited stealth and announced a $20 million funding round led by Inspired Capital with participation from Notation Capital, Operator Partners and Thiel Capital and several angel investors (among them Peter Thiel). Neither, obviously, are very desirable scenarios.

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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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How to Leverage Quality Assurance & User Acceptance Testing

Sunflower Lab

Testing for Product Success There are three components critical to the success of a project’s success, which rings true, especially for software development. These components revolve around testing, quality assurance, and user acceptance testing. What is Quality Assurance?

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How to Leverage Quality Assurance & User Acceptance Testing

Sunflower Lab

Testing for Product Success There are three components critical to the success of a project’s success, which rings true, especially for software development. These components revolve around testing, quality assurance, and user acceptance testing. What is Quality Assurance?

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Survey Surfaces Increasing Reliance on AI to Develop Software

DevOps.com

AI is already being used in code writing, code review, quality assurance/testing, debugging and design and architecture, according to a recent survey.